{
  "source": "live Code list",
  "fetched_at": "2026-10-19T14:05:54Z",
  "count": 186,
  "complete": true,
  "items": [
    {
      "ref": "iqrajunejo/2329158-denoisingdirtydocuments",
      "votes": 0
    },
    {
      "ref": "stargazercn/unet-denoising-dirty-documents",
      "votes": 0
    },
    {
      "ref": "arukesulaimanova1/notebookc4384c59c8",
      "votes": 0
    },
    {
      "ref": "baselbarakat1/basel-s-denoising-dirty-documents",
      "votes": 3
    },
    {
      "ref": "shahdabdelmaqsoud/autoencoder-denoising",
      "votes": 0
    },
    {
      "ref": "ker0mansour/document-denoising-autoencoder",
      "votes": 0
    },
    {
      "ref": "mohamedmaher1/notebookdbfee29fba",
      "votes": 0
    },
    {
      "ref": "yousefayman00/computer-vision",
      "votes": 0
    },
    {
      "ref": "scherifaschraf/notebook05850a8083",
      "votes": 1
    },
    {
      "ref": "codingloading/denoising-with-convolution-autoencoder",
      "votes": 56
    },
    {
      "ref": "khuongpd/nfcnn-model",
      "votes": 0
    },
    {
      "ref": "jsjs0125/denoising-dirty-documents-by-pytorch",
      "votes": 7
    },
    {
      "ref": "youngsunjoung/autoencoder-of-denoising-dirty-documents-pytorch",
      "votes": 5
    },
    {
      "ref": "keugmogu/denoising-dirty-documents-pytorch-autoencoder",
      "votes": 7
    },
    {
      "ref": "mirai8work/this-shit",
      "votes": 2
    },
    {
      "ref": "hamdeh/denoise-images-using-autoencoders-tf-keras",
      "votes": 6
    },
    {
      "ref": "shadialhalak/denoising-superres-documents",
      "votes": 5
    },
    {
      "ref": "anirudhkoti/unet-sidd",
      "votes": 0
    },
    {
      "ref": "dhruvaguruprasad/glyph-data",
      "votes": 1
    },
    {
      "ref": "dhruvaguruprasad/cnn-working",
      "votes": 4
    },
    {
      "ref": "abdelrhmaneldesoky/dip-project",
      "votes": 0
    },
    {
      "ref": "mikisr/saridis-autoencoders-for-denoising-images",
      "votes": 1
    },
    {
      "ref": "polinagorbunova/autoencoders-for-denoising-images-pytorch-0fa727",
      "votes": 1
    },
    {
      "ref": "polinagorbunova/autoencoders-for-denoising-images-pytorch",
      "votes": 1
    },
    {
      "ref": "polinagorbunova/autoencoders-for-denoising-images-pytorch-copy",
      "votes": 0
    },
    {
      "ref": "timurdzhumaniiazov/autoencoders-for-denoising-images-pytorch",
      "votes": 4
    },
    {
      "ref": "danilkozachonok/autoencoders-for-denoising-images-pytorch",
      "votes": 3
    },
    {
      "ref": "polinamurlina/autoencoders-for-denoising-images-pytorch-copy",
      "votes": 3
    },
    {
      "ref": "hinches/autoencoders-for-denoising-images-pytorch-bdf19e",
      "votes": 1
    },
    {
      "ref": "billyartarmstrong/autoencoders-for-denoising-images-pytorch",
      "votes": 1
    },
    {
      "ref": "albinach2000/autoencoders-for-denoising-images-pytorch",
      "votes": 2
    },
    {
      "ref": "kvsbmstu/autoencoders-for-denoising-images-pytorch",
      "votes": 31
    },
    {
      "ref": "natashameshram/image-denoising-autoencoders-version-1",
      "votes": 9
    },
    {
      "ref": "shubhangibindal/deep-autoencoder-denoise-document-17e3e7",
      "votes": 1
    },
    {
      "ref": "shubhangibindal/image-resolution-and-ocr-on-dirty-documents",
      "votes": 0
    },
    {
      "ref": "shubhangibindal/image-super-resolution-on-documents",
      "votes": 15
    },
    {
      "ref": "ahmedwael2000/autoencoders-for-denoising-images",
      "votes": 18
    },
    {
      "ref": "mortezarashidpour/denoising-dirty-documents",
      "votes": 8
    },
    {
      "ref": "jayantpranjal/image-denoising",
      "votes": 3
    },
    {
      "ref": "nico404/denoise-images-w-cnn-autoencoder-keras-tf-ocr",
      "votes": 46
    },
    {
      "ref": "hoangpham303/deep-autoencoder-denoise-document",
      "votes": 15
    },
    {
      "ref": "irdinanajwaizhamupm/denoising-text-image-documents-using-autoencoders",
      "votes": 13
    },
    {
      "ref": "georgedn/notebooked2867910a",
      "votes": 1
    },
    {
      "ref": "rmuhammed97/denoise-images-using-autoencoders",
      "votes": 37
    },
    {
      "ref": "weisinx7/denoising-by-autoencoder-simple-data",
      "votes": 4
    },
    {
      "ref": "mohamedahmedae/dae-denoiseautoencoders",
      "votes": 16
    },
    {
      "ref": "weisinx7/denoising-by-autoencoder-mixed-data",
      "votes": 2
    },
    {
      "ref": "weisinx7/denoising-by-mprnet",
      "votes": 23
    },
    {
      "ref": "parisadkh/document-denoising",
      "votes": 0
    },
    {
      "ref": "a7madmostafa/denoising-images-using-conv-autoencoders",
      "votes": 69
    },
    {
      "ref": "arifva/notebook84f3125dff",
      "votes": 0
    },
    {
      "ref": "manish939/denoise-images-using-autoencoders-tf-keras",
      "votes": 0
    },
    {
      "ref": "rebelgiri/document-denoising",
      "votes": 17
    },
    {
      "ref": "nitin29/notebook110a9794e4",
      "votes": 0
    },
    {
      "ref": "ritvik1909/denoising-autoencoder-image-augmentation",
      "votes": 76
    },
    {
      "ref": "ndl17020871/unzip-denoising-dirty-documents",
      "votes": 0
    },
    {
      "ref": "rajaraman6195/image-denoise",
      "votes": 14
    },
    {
      "ref": "michalbrezk/denoise-images-using-autoencoders-tf-keras",
      "votes": 466
    },
    {
      "ref": "shivamjohri/document-cleaner-with-cnn-autoencoder-rmsprop",
      "votes": 18
    },
    {
      "ref": "daenys2000/keras-denoising-autoencoders",
      "votes": 16
    },
    {
      "ref": "laurauzcategui/denoising-dirty-docs",
      "votes": 15
    },
    {
      "ref": "johnlehmann/fastai-unet-denoiser",
      "votes": 17
    },
    {
      "ref": "phylake1337/clear-it",
      "votes": 23
    },
    {
      "ref": "sushanth1995/image-augmentation-and-neural-encoder-decoder",
      "votes": 75
    },
    {
      "ref": "ahmedjimy/autoencoders-for-denoising-with-visualizations",
      "votes": 10
    },
    {
      "ref": "dimakyn/keras-cnn-autoencoder",
      "votes": 12
    },
    {
      "ref": "sunnynevarekar/denoising-dirty-documents-using-autoencoder",
      "votes": 6
    },
    {
      "ref": "vinayver/denoising-documents-using-autoencoder",
      "votes": 4
    },
    {
      "ref": "uurdeep/document-cleaner-with-convolutional-autoencoder",
      "votes": 19
    },
    {
      "ref": "hahmed747/background-removal-using-fastai-unet-learner",
      "votes": 19
    },
    {
      "ref": "simmygupta/kernel5560a76044",
      "votes": 0
    },
    {
      "ref": "iamsaksham/denoising-dirt-documents",
      "votes": 2
    },
    {
      "ref": "shubham19934/image-prepocessing",
      "votes": 4
    },
    {
      "ref": "rakeshvd/cleaning-documents-using-autoencoder",
      "votes": 3
    },
    {
      "ref": "werty12121/data-lit-images-denoising",
      "votes": 5
    },
    {
      "ref": "ribhavs54/kernel784c307d6a",
      "votes": 0
    },
    {
      "ref": "forhadsidhu/explanation-autoencoder-works-implementation",
      "votes": 8
    },
    {
      "ref": "ajithvajrala/convolutional-autoencoder-with-keras",
      "votes": 2
    },
    {
      "ref": "palaksood97/image-denoising",
      "votes": 144
    },
    {
      "ref": "ajithvajrala/auto-encoders-for-denoising",
      "votes": 3
    },
    {
      "ref": "anmour/convolutional-autoencoder-with-keras",
      "votes": 133
    },
    {
      "ref": "muthukrishnan/removing-background-noise-from-dirty-documents",
      "votes": 4
    },
    {
      "ref": "jhonatanbds/denoising-documents-w-cnn",
      "votes": 0
    },
    {
      "ref": "atrisaxena/autoencoders-denoising-dirty-document",
      "votes": 23
    },
    {
      "ref": "aeter42/denoising-documents-with-conv-autoencoders",
      "votes": 13
    },
    {
      "ref": "zhoulingyan0228/denoising-documents-w-feature-engineered",
      "votes": 2
    },
    {
      "ref": "zhoulingyan0228/denoising-documents-w-cnn",
      "votes": 44
    },
    {
      "ref": "zhoulingyan0228/dirty-documents-tuning-adaptive-threshold",
      "votes": 2
    },
    {
      "ref": "jihyeseo/remove-noise-from-printed-text-image",
      "votes": 2
    },
    {
      "ref": "aakashnain/denoising-autoencoders-to-the-rescue",
      "votes": 152
    },
    {
      "ref": "arjunsurendran/image-painting-with-tensorflow",
      "votes": 0
    },
    {
      "ref": "pankaj123/fc-autoencoder",
      "votes": 0
    },
    {
      "ref": "erdoganb/recreating-images-with-autoencoder",
      "votes": 6
    },
    {
      "ref": "piasyx/notebookba67f73979",
      "votes": 0
    },
    {
      "ref": "amitkumarjaiswal/notebook9710c540b4",
      "votes": 5
    },
    {
      "ref": "jasperwoo/notebook9192ea6e5b",
      "votes": 0
    },
    {
      "ref": "arnaudreymond90/notebook47308b08e4",
      "votes": 0
    },
    {
      "ref": "jokerchirs/notebook954d74920d",
      "votes": 0
    },
    {
      "ref": "cyrilmaleval/denoising-with-r-part-1",
      "votes": 0
    },
    {
      "ref": "vaibhavlaturkar/fork-of-notebookbaaa6565f0",
      "votes": 0
    },
    {
      "ref": "kubsoykan/notebooke58a060b7e",
      "votes": 0
    },
    {
      "ref": "vaibhavlaturkar/notebook39b145c4e6",
      "votes": 1
    },
    {
      "ref": "vsmolyakov/fc-autoencoder",
      "votes": 16
    },
    {
      "ref": "nadezhda94/autoencoded-denoising-39d0cec1",
      "votes": 0
    },
    {
      "ref": "nadezhda94/autoencoded-denoising-a008b4bf",
      "votes": 0
    },
    {
      "ref": "nadezhda94/autoencoded-denoising-b9f60acc",
      "votes": 0
    },
    {
      "ref": "nadezhda94/autoencoded-denoising",
      "votes": 0
    },
    {
      "ref": "simmoncn/autoencoded-denoising",
      "votes": 0
    },
    {
      "ref": "victorcantor/autoencoded-denoising",
      "votes": 0
    },
    {
      "ref": "ahmedpyarali/autoencoded-denoising",
      "votes": 49
    },
    {
      "ref": "snadeau/notebook95315fa636",
      "votes": 0
    },
    {
      "ref": "shubhamgpande/denoising-with-r-part-1",
      "votes": 0
    },
    {
      "ref": "pranavsachdev05/notebooka831ab9611",
      "votes": 0
    },
    {
      "ref": "adg789/notebook08995b8733",
      "votes": 0
    },
    {
      "ref": "ahmedpyarali/notebook1647724630",
      "votes": 0
    },
    {
      "ref": "skylord/notebook-36e6db29ab93c80cd515",
      "votes": 0
    },
    {
      "ref": "skylord/notebook-0056b81cec1125da373b",
      "votes": 0
    },
    {
      "ref": "skylord/notebook-686fdcf4a88e41f261dd",
      "votes": 0
    },
    {
      "ref": "mlnjsh/background-information-leakage-using-r",
      "votes": 0
    },
    {
      "ref": "ytchang/notebook-a7139aa434a1aa7902f4",
      "votes": 0
    },
    {
      "ref": "jjough/notebook-005dcaf1b62f27721c4a",
      "votes": 0
    },
    {
      "ref": "jjough/khjkl",
      "votes": 0
    },
    {
      "ref": "vitalimarrenra/notebook-12e31a08f34ef6848cc9",
      "votes": 0
    },
    {
      "ref": "womghei01/notebook-ec5f3962d49d0026cf07",
      "votes": 0
    },
    {
      "ref": "womghei01/notebook-f58a9fb0c441f9869a17",
      "votes": 0
    },
    {
      "ref": "kumar9536/ru1-test",
      "votes": 0
    },
    {
      "ref": "peterkupfer/background-removal",
      "votes": 1
    },
    {
      "ref": "colinpriest/background-information-leakage-using-r",
      "votes": 12
    },
    {
      "ref": "honeyext/dummy",
      "votes": 0
    },
    {
      "ref": "johnnystrings/denoise-with-random-forests",
      "votes": 5
    },
    {
      "ref": "bharathiitm/test1",
      "votes": 0
    },
    {
      "ref": "yaswanth/denoising-with-r-part-6",
      "votes": 1
    },
    {
      "ref": "srujalsk/test1",
      "votes": 0
    },
    {
      "ref": "jsh127/test1",
      "votes": 0
    },
    {
      "ref": "jsh127/r-part-7",
      "votes": 1
    },
    {
      "ref": "jsh127/denoising-with-r-part-6",
      "votes": 1
    },
    {
      "ref": "jsh127/denoising-with-r-part-5",
      "votes": 1
    },
    {
      "ref": "colinpriest/denoising-with-r-part-6",
      "votes": 13
    },
    {
      "ref": "analyticbastard/denoising-r-5",
      "votes": 1
    },
    {
      "ref": "usixuz/denoising-with-r-part-3",
      "votes": 1
    },
    {
      "ref": "szshen/testing",
      "votes": 0
    },
    {
      "ref": "colinpriest/denoising-with-r-part-5",
      "votes": 17
    },
    {
      "ref": "colinpriest/denoising-with-r-part-4",
      "votes": 4
    },
    {
      "ref": "johnnystrings/denoising-with-random-forests",
      "votes": 15
    },
    {
      "ref": "toya92/subtract-noisy-background",
      "votes": 4
    },
    {
      "ref": "colinpriest/denoising-with-r-part-3",
      "votes": 4
    },
    {
      "ref": "rssalessio/test1",
      "votes": 1
    },
    {
      "ref": "takagiwa/predicting-background-image",
      "votes": 12
    },
    {
      "ref": "colinpriest/denoising-with-r-part-2",
      "votes": 12
    },
    {
      "ref": "jcase1988/testt",
      "votes": 0
    },
    {
      "ref": "oliversherouse/let-s-try-simple-linear-regression",
      "votes": 3
    },
    {
      "ref": "chenwenhu/havefun",
      "votes": 0
    },
    {
      "ref": "colinpriest/denoising-with-r-part-1",
      "votes": 38
    },
    {
      "ref": "oliversherouse/denoising-with-ransom-forests",
      "votes": 14
    },
    {
      "ref": "antonov/nn-starter-kit",
      "votes": 1
    },
    {
      "ref": "mynameisvinn/foo123",
      "votes": 12
    },
    {
      "ref": "company/high-pass-filter-v1-2",
      "votes": 1
    },
    {
      "ref": "company/high-pass-filter-v1-1",
      "votes": 3
    },
    {
      "ref": "company/an-experience-with-adattati-thresholding",
      "votes": 1
    },
    {
      "ref": "mattgenkin/skimage-thresholding",
      "votes": 0
    },
    {
      "ref": "mattgenkin/background-removal",
      "votes": 2
    },
    {
      "ref": "maurizios/comb-of-threshold-mask",
      "votes": 1
    },
    {
      "ref": "maurizios/an-experience-with-adattati-thresholding",
      "votes": 3
    },
    {
      "ref": "maurizios/experimenting-with-skim-age",
      "votes": 3
    },
    {
      "ref": "maurizios/initial-testing-with-contour",
      "votes": 1
    },
    {
      "ref": "d3potf/test-data-for-predicting",
      "votes": 3
    },
    {
      "ref": "d3potf/step-1-get-typical-traindata",
      "votes": 2
    },
    {
      "ref": "chinnikrishna55/denoise-working",
      "votes": 1
    },
    {
      "ref": "yasha0b1/no-cleaning-benchmark-r",
      "votes": 7
    },
    {
      "ref": "ajitmotra/denaoise-with-preserved-background-color",
      "votes": 10
    },
    {
      "ref": "nathanelbaz/threshold-filter",
      "votes": 4
    },
    {
      "ref": "rdokov/nn-starter-kit",
      "votes": 24
    },
    {
      "ref": "jijosunny/first-attempt",
      "votes": 2
    },
    {
      "ref": "emanuek/clean-by-thresholding",
      "votes": 5
    },
    {
      "ref": "csmariasaadia/high-pass-filter",
      "votes": 1
    },
    {
      "ref": "rdokov/background-removal",
      "votes": 151
    },
    {
      "ref": "ianintas/raster-images-side-by-side",
      "votes": 4
    },
    {
      "ref": "ngutten/high-pass-filter",
      "votes": 15
    },
    {
      "ref": "patelvi51/test-1",
      "votes": 1
    },
    {
      "ref": "dchudz/no-cleaning-benchmark-streaming",
      "votes": 2
    },
    {
      "ref": "benhamner/no-cleaning-benchmark-streaming",
      "votes": 6
    },
    {
      "ref": "dchudz/example-images-rmarkdown",
      "votes": 1
    },
    {
      "ref": "dchudz/example-images-file-list-r",
      "votes": 5
    },
    {
      "ref": "dchudz/clean-by-thresholding",
      "votes": 19
    },
    {
      "ref": "dchudz/no-cleaning-benchmark",
      "votes": 2
    },
    {
      "ref": "dchudz/what-files-are-there",
      "votes": 0
    }
  ]
}