{
  "total": 209,
  "topics": [
    {
      "id": 98183,
      "title": "Rules clarification on Generative Models",
      "comment_count": 49,
      "views": 0,
      "votes": 49,
      "reused": true
    },
    {
      "id": 106207,
      "title": "Sharing Thread: Competition Takeaways",
      "comment_count": 12,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 106206,
      "title": "Private leaderboard finalized - thank you all! ",
      "comment_count": 13,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 102701,
      "title": "Announcement: deadline extension and logistics ",
      "comment_count": 71,
      "views": 0,
      "votes": 75,
      "reused": true
    },
    {
      "id": 97753,
      "title": "Dog images show-off thread",
      "comment_count": 229,
      "views": 0,
      "votes": 47,
      "reused": true
    },
    {
      "id": 97751,
      "title": "Welcome! (feedback thread)",
      "comment_count": 17,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 99212,
      "title": "Training Losses",
      "comment_count": 15,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 104281,
      "title": "When BigGAN met StyleGAN (public 12.4 solution)",
      "comment_count": 40,
      "views": 0,
      "votes": 133,
      "reused": true
    },
    {
      "id": 99215,
      "title": "Memorization GAN Explained",
      "comment_count": 45,
      "views": 0,
      "votes": 159,
      "reused": true
    },
    {
      "id": 98595,
      "title": "All you need is GAN Hacks",
      "comment_count": 21,
      "views": 0,
      "votes": 68,
      "reused": true
    },
    {
      "id": 395387,
      "title": "input zip file issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 99183,
      "title": "GAN implementations using PyTorch",
      "comment_count": 16,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 109416,
      "title": "Unable To Access Data",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 101416,
      "title": "Batch Normalization or Weight Normalization?",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 98993,
      "title": "Improved techniques for training GAN",
      "comment_count": 13,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 189822,
      "title": "Does the level of FID affect the discrimination of the generated image?",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 187790,
      "title": "How to use GAN to create images",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 97772,
      "title": "A github repo with a lot of gan architectures",
      "comment_count": 8,
      "views": 0,
      "votes": 52,
      "reused": true
    },
    {
      "id": 102771,
      "title": "Kernel Errors - Root Cause Fixed",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 153632,
      "title": "Best practices of GANs",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 135484,
      "title": "cool",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 106305,
      "title": "🏅Gold Medal Solutions 🏅",
      "comment_count": 7,
      "views": 0,
      "votes": 31,
      "reused": true
    },
    {
      "id": 106514,
      "title": "3rd place approach",
      "comment_count": 10,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 104197,
      "title": "Let's share the real public score?",
      "comment_count": 15,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 103862,
      "title": "Can't access my kernel 😏",
      "comment_count": 9,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 104287,
      "title": "BigGAN solution - public LB 15",
      "comment_count": 6,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 106324,
      "title": "1st place solution",
      "comment_count": 39,
      "views": 0,
      "votes": 55,
      "reused": true
    },
    {
      "id": 114487,
      "title": "Can't create new Kernels in the Competion",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 102799,
      "title": "PyTorch Deep Learning Nanodegree: Generative Adversarial Networks",
      "comment_count": 15,
      "views": 0,
      "votes": 33,
      "reused": true
    },
    {
      "id": 99527,
      "title": "Why is everyone using PyTorch now ?",
      "comment_count": 24,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 110613,
      "title": "More GAN competitions?",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 106554,
      "title": "Project: These dogs don't exist :)",
      "comment_count": 6,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 98311,
      "title": "TensorFlow 2 in kernel",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 104489,
      "title": "Data Augmentation - LB 47",
      "comment_count": 14,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 106220,
      "title": "Thank you kaggle",
      "comment_count": 5,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 104703,
      "title": "Journey to LB 44.69 (ResNet DCGAN+Conditional BN)",
      "comment_count": 7,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 106452,
      "title": "8th place solution(private 89)",
      "comment_count": 1,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 106296,
      "title": "Congrats to All - Extremely happy with my first competition medal",
      "comment_count": 10,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 106251,
      "title": "Bad luck :( ",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 106221,
      "title": "Congrats to the winners! Finally ...",
      "comment_count": 17,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 106231,
      "title": "Congrats! ",
      "comment_count": 9,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 106119,
      "title": "Public LB changed",
      "comment_count": 6,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 106287,
      "title": "Thank you and Congrats to Winners",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 106187,
      "title": "Public LB changed 2: Back propogation",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 104170,
      "title": "My approach (gold?)",
      "comment_count": 19,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 106167,
      "title": "DCGAN tutorial with Tensorflow/Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 99660,
      "title": "Pytorch transformations on the image arrays",
      "comment_count": 2,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 105115,
      "title": "Tensorboard in kaggle kernel",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 104533,
      "title": "How do you usually export your local Python code into a kernel?",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 104215,
      "title": "Public LB 30 Solution",
      "comment_count": 15,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 104604,
      "title": "How can I submit the result?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 104211,
      "title": "Public LB 15.81605 solution",
      "comment_count": 7,
      "views": 0,
      "votes": 39,
      "reused": true
    },
    {
      "id": 104302,
      "title": "My DCGAN solution LB 30.65",
      "comment_count": 8,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 104198,
      "title": "Kernels having under 40 PublicLB Score",
      "comment_count": 2,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 104322,
      "title": "My Solution with Code (Public LB 45.6)",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 104218,
      "title": "First competition 43.6 public score",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 104246,
      "title": "LB 54 with PatchGAN",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 104175,
      "title": "Would like to thank everyone for their contribution.",
      "comment_count": 6,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 103881,
      "title": "discriminator.trainable = False in keras !!",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 104254,
      "title": "Experiment Design",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 104167,
      "title": "The best GAN performance and goog luck!",
      "comment_count": 1,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 104173,
      "title": "How to select kernels for final score??",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 102155,
      "title": "How to train your touchy GANs - Things that seem to work.",
      "comment_count": 71,
      "views": 0,
      "votes": 62,
      "reused": true
    },
    {
      "id": 104028,
      "title": "If we have to give away prize based on public LB submissions right now",
      "comment_count": 19,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 104138,
      "title": "How unstable are GANs?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 104030,
      "title": "How many submissions are allowed?",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 103061,
      "title": "How does shape of input noise effect GAN?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 104103,
      "title": "How can you share the kernel with admin only?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 104006,
      "title": "Good Luck to all 👍",
      "comment_count": 7,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 104078,
      "title": "how and where to save the generated image",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 103959,
      "title": "How to share final submission to admins?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 103848,
      "title": "Awesome Github Repositories for Generative Models (code, paper, tip, tutorial)",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 103158,
      "title": "How should we select \"the best generator\" in the training loop?",
      "comment_count": 17,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 102706,
      "title": "The real public LB?",
      "comment_count": 11,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 99485,
      "title": "RaLSGAN Explained",
      "comment_count": 20,
      "views": 0,
      "votes": 83,
      "reused": true
    },
    {
      "id": 103249,
      "title": "Improving GAN training by progressive augmentation",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 103510,
      "title": "Are vq vae methods allowed?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 103463,
      "title": "How to share final kernels to admin privately or publicly?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 103131,
      "title": "How CycleGAN works - Computerphile",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 102755,
      "title": "Submission successfully now",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 103005,
      "title": "Any Ideas to break into 5.xx?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 102586,
      "title": "Anybody know why I got an error in My Submissions",
      "comment_count": 21,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 102620,
      "title": "A Kernel Exception with the Unknown Error on Submission",
      "comment_count": 11,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 99568,
      "title": "Kernel Threw Exception",
      "comment_count": 11,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 102756,
      "title": "Submissions are back",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 102710,
      "title": "All Submissions going in Error -Help ?",
      "comment_count": 9,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 97809,
      "title": "Explaining the metric FID",
      "comment_count": 7,
      "views": 0,
      "votes": 52,
      "reused": true
    },
    {
      "id": 101874,
      "title": "How far can traditional Gan go.",
      "comment_count": 31,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 102703,
      "title": "Kernel Threw exception during submission ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 102628,
      "title": "Are Memorizer GANs even GAN?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 102596,
      "title": "which augmentation method helps for gan??",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 101564,
      "title": "What's the max Run-time to commit GPU kernel?(6 hrs or 9 hrs)",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 101494,
      "title": "A question about \"memorization\" GANs",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 102100,
      "title": "A simple way to determine if the method is a Memorized GAN",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 101635,
      "title": "Memorized GAN in this competition are allowed or not?",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 101749,
      "title": "Tiny irregular colorful spots in generated images",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 102057,
      "title": "Did I miss merger date or still possible? (Look for a teammate TOP100)",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 98229,
      "title": "Proposal to require all final submission kernels be made public?",
      "comment_count": 18,
      "views": 0,
      "votes": 81,
      "reused": true
    },
    {
      "id": 101398,
      "title": "My Kernel with 67 FiD(Now 62) score made public ",
      "comment_count": 18,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 101899,
      "title": "CS229 lecture notes on GANs by Andrew Ng",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 102024,
      "title": "why am i getting invalid file type ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 101304,
      "title": "Is any one expecting a Shake up in Private LB",
      "comment_count": 11,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 101861,
      "title": "Why my generator loss increased after some epoch ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98402,
      "title": "Do GANs Memorize or Generalize?",
      "comment_count": 21,
      "views": 0,
      "votes": 55,
      "reused": true
    },
    {
      "id": 100565,
      "title": "What will Kaggle do in the end?",
      "comment_count": 27,
      "views": 0,
      "votes": 42,
      "reused": true
    },
    {
      "id": 101580,
      "title": "How to save images generated from model -- Tensorflow",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 101079,
      "title": "[TIP] What should your batch size be ? (spoiler: 32 or less)",
      "comment_count": 6,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 101299,
      "title": "I tried BigGan",
      "comment_count": 9,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 101441,
      "title": "Queries regarding mode collapse in GAN",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 101246,
      "title": "How to solve Evaluation Exception",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99305,
      "title": "Training DCGAN",
      "comment_count": 7,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 101269,
      "title": "Very Good Talk About GANs",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 100412,
      "title": "What's  the  ods.ai  stands  for?",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 101220,
      "title": "Note:truncnorm is giving uplift to score - good work by sakami",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 101107,
      "title": "Use of Horizontal Flip % -Double Headed Dog ?",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 100974,
      "title": "The usage of Dropout in GAN's...",
      "comment_count": 11,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 100672,
      "title": "better generated images are halfway",
      "comment_count": 9,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 101013,
      "title": "way to interpret generator and discriminator loss?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 100945,
      "title": "Batch size 16->64 make result worse, but why?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 100723,
      "title": "could we use mixed precision for training gan?",
      "comment_count": 7,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 100806,
      "title": "how to submit my work?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99266,
      "title": "What's your traditional GAN's performance?",
      "comment_count": 52,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 98456,
      "title": "I need to vent. Cry here",
      "comment_count": 18,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 100602,
      "title": "We should have to select only generative GAN for final submissions",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 100701,
      "title": "Looking through glass ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 97989,
      "title": "Introducing DCGANs",
      "comment_count": 10,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 100437,
      "title": "Imagenet Denormalization",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99461,
      "title": "Please do not allow memorized GAN in this competition",
      "comment_count": 18,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 100073,
      "title": "Two popular repos for PyTorch and Keras GANs",
      "comment_count": 5,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 100355,
      "title": "Private LB Simulation [5 min read]",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 99938,
      "title": "Strange Discriminator Loss Surge",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 98227,
      "title": "Looking for ideas?",
      "comment_count": 3,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 99620,
      "title": "Unable to read properly kernels",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 98719,
      "title": "Latent Walk Examples",
      "comment_count": 16,
      "views": 0,
      "votes": 63,
      "reused": true
    },
    {
      "id": 99656,
      "title": "transfer learning",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99725,
      "title": "Could kaggle person tell me if \"Dog Memorizer GAN\" can be used for final submitting?",
      "comment_count": 3,
      "views": 0,
      "votes": -2,
      "reused": true
    },
    {
      "id": 99613,
      "title": "Error in Starter Code",
      "comment_count": 7,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 99630,
      "title": "Kernel issues",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99726,
      "title": "May I modify output which model generated before submitting?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 99636,
      "title": "Evaluation Kernel encountered unexpected error ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 99545,
      "title": "Memorizer CGAN for dummies",
      "comment_count": 15,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 99396,
      "title": "Tips for GANs",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 98519,
      "title": "Conv2DTranspose or UpSampling2D ?",
      "comment_count": 4,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 98734,
      "title": "I dont understand Overview of Competition",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99403,
      "title": "Dog Starter Code Question .",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 99360,
      "title": "Cropped images improvement?",
      "comment_count": 12,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 98245,
      "title": "Finding dogs in the images first ?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 99223,
      "title": "hey guys I need help with my DCGAN pytorch",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 99354,
      "title": "semi-supervised GAN",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 99210,
      "title": "Can we benefit from training a classifier?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 99311,
      "title": "Improved Techniques for Training GANs",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 98516,
      "title": "The general structure of a GAN",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 98517,
      "title": "GAN Basic",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 99310,
      "title": "Can I use the Inception pre-train model of Pytorch ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 99254,
      "title": "Optimal number of epochs for GAN training?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 99028,
      "title": "hey guys am new to kaggle....what does the percentege on cpu mean?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 99172,
      "title": "Score Comparison of various GAN that I tried ",
      "comment_count": 3,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 98972,
      "title": "Evaluation Exception",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98861,
      "title": "Need Help -- DCGAN with Tensorflow/Keras",
      "comment_count": 29,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 99162,
      "title": "Dark Images after preprocessing?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 98842,
      "title": "Confused with the Leaderboard",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 98926,
      "title": "simple pytorch WGAN divergence implementation ",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 98912,
      "title": "Maybe it is a good idea to restart competition with the new score?",
      "comment_count": 0,
      "views": 0,
      "votes": 19
    },
    {
      "id": 98853,
      "title": "Animated GANs - See the latent walk evolution",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 97863,
      "title": "New Insights",
      "comment_count": 6,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 98665,
      "title": "Two GANs competing each other ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98625,
      "title": "What's the real score?",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 98504,
      "title": "StyleGAN",
      "comment_count": 11,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 98105,
      "title": "Add MiFID metric input as competition data",
      "comment_count": 11,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 98110,
      "title": "Please remove kaggle points and medals from this competition",
      "comment_count": 12,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 98300,
      "title": "Tried my hand on fastai wgan have a look",
      "comment_count": 9,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98327,
      "title": "Collection of PyTorch and Keras implementations of GANs",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 98488,
      "title": "How to measure my GAN is performing well ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98544,
      "title": "Is continuity of latent space the key to generate realistic images?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 98294,
      "title": "Runtime limit",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 98390,
      "title": "9h limit",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98347,
      "title": "Running DCGAN on cropped images",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 98090,
      "title": "Gan in Real-Life",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 98236,
      "title": "GAN Zoo",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 98012,
      "title": "LB 428408000297.81800",
      "comment_count": 7,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 97850,
      "title": "Can we use image bounding boxes to crop images",
      "comment_count": 8,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 98204,
      "title": "A note about metrics",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 98151,
      "title": "LB if we remove all the score less than 50 ",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 98243,
      "title": "How are the annotations used in this competition? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 97883,
      "title": "Generative models",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 97915,
      "title": "Variational Autoencoder",
      "comment_count": 5,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 98097,
      "title": "Building GANs to produce handwritten characters in TensorFlow",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 98025,
      "title": "Some beginner's intro to GAN",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 98104,
      "title": "Up to what point in LB are there GANs? ",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 98053,
      "title": "Stanford open course: Lecture 13 | Generative Models",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 97754,
      "title": "Why no use of utility scripts? ",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 97854,
      "title": "What are \"altered versions\" of images?",
      "comment_count": 20,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 97918,
      "title": "Officially LB is broken",
      "comment_count": 10,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 97983,
      "title": "Ｈ𝐀𝑷𝑷𝓎 🇰𝗮𝘨𝘨🇱𝖎Ｎɢ  💯",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 97935,
      "title": "Kaggle GANs",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 97966,
      "title": "How to use keras-adversarial in kernels",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 97866,
      "title": "Github repo with GAN architectures with Keras",
      "comment_count": 3,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 97945,
      "title": "Aren't we asked to use GAN?",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 97905,
      "title": "Add Annotations for Stanford Dogs Dataset to Competition Data",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 97780,
      "title": "How to valid your models inside a kernel if no external sources?",
      "comment_count": 3,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 97761,
      "title": "The First Generative Competition Ever !!??",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 97858,
      "title": "Submission problem",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 97848,
      "title": "# Simple GAN Introduction",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 97792,
      "title": "Getting started: reading material",
      "comment_count": 3,
      "views": 0,
      "votes": 36,
      "reused": true
    },
    {
      "id": 97823,
      "title": "Thanks good compe!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 97796,
      "title": "Glitch?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 97783,
      "title": "Is is KO synchronous or asynchronous?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 97757,
      "title": "Thanks for hosting image generation competition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 97744,
      "title": "This is so interesting",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    }
  ],
  "errors": []
}