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  "total": 96,
  "topics": [
    {
      "id": 178166,
      "title": "Welcome!  ",
      "comment_count": 40,
      "views": 0,
      "votes": 53,
      "reused": true
    },
    {
      "id": 199183,
      "title": "Join me in congratulating the TPU Stars!",
      "comment_count": 4,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 429958,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 181397,
      "title": "TPU Star Prizes!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 704296,
      "title": "I cant submit my prediction! WHY!!!!!!!!!",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 667905,
      "title": "Help: Are TPUs still available?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 232028,
      "title": "How to submit predictions?",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 562071,
      "title": "Find a partner",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 180515,
      "title": "All you wanted to know about GANs and you were too afraid to ask",
      "comment_count": 11,
      "views": 0,
      "votes": 49,
      "reused": true
    },
    {
      "id": 555060,
      "title": "很好的题目，我认她很有助于学习cyclegan",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 546881,
      "title": "output file not found",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 548886,
      "title": "Leaderboard ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 540159,
      "title": "How to evaluate scores？",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 523260,
      "title": "Stable diffusion",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 512922,
      "title": "Broken Link in Overview",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 528877,
      "title": "Submission File Not Found",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 371299,
      "title": "how to install kaggle_datasets?",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 523898,
      "title": "Further reading and research areas",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 185910,
      "title": "Top 10 papers to get stated with GANs",
      "comment_count": 7,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 464785,
      "title": "Can't import tensorflow",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 471248,
      "title": "how and where can I get other artists resouce data?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448951,
      "title": "Does submission use TPU?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 443300,
      "title": "Some personal records ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 412797,
      "title": "Misunderstanding about the problem",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 406932,
      "title": "Quick Question",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 391229,
      "title": "GANs for sequential Data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 178253,
      "title": "Complete GAN Resources (so far)",
      "comment_count": 3,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 320684,
      "title": "Dall-E Will Win",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 374904,
      "title": "Converting images to tfrecord for the competition ",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 331362,
      "title": "painting classification model using Tensorflow Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 325668,
      "title": "Looking for a Team",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 323470,
      "title": "Open Source Projects On Art Generation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 323320,
      "title": " Learn About Generative Models From These Academic Papers!",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 322264,
      "title": "Zip file has no images!",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 313298,
      "title": "Keep photos without anachronism",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 283861,
      "title": "[Hacks List & Code] - Hacks and tricks to boost GANs performance",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 310652,
      "title": "How to install keras_contrib from inside kaggle notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 306626,
      "title": "Cannot submit ！",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 303431,
      "title": "SOTA GANs in fewest lines of code",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 180524,
      "title": "Generative Adversarial Networks in Action: Art Generation",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 294659,
      "title": "Submit predictions",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 294658,
      "title": "Submit predictions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 246068,
      "title": "[Beginners]The GAN zoo",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 290250,
      "title": "Painting Tricks",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 205813,
      "title": "Broken area in GAN output",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 289918,
      "title": "New Dataset: 🎨 WikiArt | All images (120k+)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 241461,
      "title": "what is the photo_jpg folder for?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 254154,
      "title": "Bad Request when trying to submit through the Kaggle CLI on a Google Colab Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 249028,
      "title": "PyTorch XLA Starter [LB:61.3]",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212351,
      "title": "Remove Submission",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 239664,
      "title": "How can I solve the problem of randomness color when generating using GAN",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 226129,
      "title": "Making a copy of a large dataset may take several minutes. If internet is turned on, please wait several minutes and try again.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 188968,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 212360,
      "title": "GAN with Faces!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 178182,
      "title": "Learn more about GANs from previous comps",
      "comment_count": 4,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 178303,
      "title": "Use this thread for Teamup.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 178185,
      "title": "Getting started - basic reading material",
      "comment_count": 5,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 189450,
      "title": "Role of use_bias = False/True",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 207500,
      "title": "Pretrained GANs",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 197150,
      "title": "When I Upload My Submission...",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 186853,
      "title": "Creating a Instance normalization layer in tensorflow",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 196946,
      "title": "\"cb50326950.jpg\" and \"c78b4fa3a9.jpg\" are rounded.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 196339,
      "title": "How to remove pixelated grid effect from the generated Image?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 195619,
      "title": "Typo in Data (7,028→7,038)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 193068,
      "title": "Easy inspection of created models",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 192638,
      "title": "CycleGAN evaluating all generator models",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 192474,
      "title": "Deeplearning.ai GAN Specialization",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 190593,
      "title": "GANs: Leveraging Technology for a better tommorow ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 189693,
      "title": "Role of Instance Normalization / Batch Normalization in Downsample ? ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 189404,
      "title": "Some duplicates in the data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 187653,
      "title": "Extracting insights on CycleGANs from papers.",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 186204,
      "title": "Dose this competition require to generate Monet style art from a random vector or do some style transfer from a photo? ",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 186970,
      "title": "Can anyone explain the evaluation process",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 183580,
      "title": "InstanceNormalization For GAN",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 183576,
      "title": "How to import Kaggle Dataset to Colab?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 182694,
      "title": "Abnormal features for generated image",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182394,
      "title": "The Evaluator cannot find files in images.zip.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 178206,
      "title": "Startup guid for CyclicGAN",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 180742,
      "title": "Contrastive Unpaired Translation (CUT) - faster and lighter training than CycleGAN",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 178476,
      "title": "non-competitive",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 180723,
      "title": "Council GAN - Breaking the Cycle - Colleagues are all you need ",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 179933,
      "title": "Is it allowed to use PyTorch? Do we have to use TPU?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 180153,
      "title": "Pytorch & Keras implementation of GAN - tutorial links",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 179906,
      "title": "Reading Material for GANs...",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 179738,
      "title": "Best Introduction to Gan's Using Pytorch for Begineers ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 178952,
      "title": "UPIT - a package with CycleGAN implementation (kernel and YouTube video)",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 179237,
      "title": "Another source of external data (Monet paintings)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 178899,
      "title": "Fast.ai Lecture 12: Generative Adverserial Networks (GANs)",
      "comment_count": 5,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 178863,
      "title": "Extensive data",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 178641,
      "title": "Instance Normalization with TPU",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 178646,
      "title": "Startup Guide: More epochs is not help",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 178300,
      "title": "We need rankings for GANs !",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 178504,
      "title": "Vincent van Gogh Paintings",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 178246,
      "title": "Nice CycleGAN realization (pytorch)",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 178218,
      "title": "GAN Notebook link ( used in SIIM ) as starter base",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    }
  ],
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}