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      "ref": "omerbeden/cnn-classifier",
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      "ref": "parulpandey/visualizing-kannada-mnist-with-t-sne",
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      "ref": "ankur1401/kannada-digit-recognizer",
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    {
      "ref": "darshaanjay/kannada-mnist-digit-recognize-99-75-accuracy",
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      "ref": "sathkrith/cnn-for-digits",
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      "ref": "fyuta24/kannada-mnist-cnn-achived-0-988-private-score",
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    {
      "ref": "mak4alex/kannada-mnis-competition",
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    {
      "ref": "parulpandey/part1-visualizing-kannada-mnist-with-pca",
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    },
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      "ref": "kaushal2896/kannada-mnist-using-different-cnn-architectures",
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      "ref": "sanath123/easy-and-quick-keras-model-for-kannada-mnist",
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      "ref": "cuuuurry/let-s-try-some-dataaugumentation-on-kannada-mnist",
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      "ref": "ahmedzeiri/kernel244a1c5670",
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      "ref": "nicapotato/dense-digit-classifier-kanada-simple-cpu-pytorch",
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    {
      "ref": "polunwang/a-simple-model-with-10-layer-cnns",
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    {
      "ref": "parulpandey/part3-visualising-kannada-mnist-with-umap",
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      "ref": "venky2506/kannadamnist",
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      "ref": "suneelpatel/indian-way-to-learn-cnn",
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      "ref": "huangyifan/kernel3a15c9b2c1",
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      "ref": "shaunthesheep/mnist-kannada",
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    {
      "ref": "melissarajaram/fastai-pytorch-implementation-of-6-layer-convnet",
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    {
      "ref": "kshitijsutar/kernelbefbda66b7",
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      "ref": "tunguz/pca-nusvm-baseline",
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    },
    {
      "ref": "arjunsinghrathod/trying-hands-on-cnn",
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    {
      "ref": "darkrubiks/kannada-mnist-keras-cnn-98",
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    {
      "ref": "anuragnegi/30-epochs",
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      "ref": "gray98/kannada-pytorch",
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    {
      "ref": "iamsiddhant/kannada-mnist-data",
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    },
    {
      "ref": "demonplus/kannada-mnist-with-fast-ai-and-resnet",
      "votes": 25
    },
    {
      "ref": "prtkmeh/kannada-mnist-with-keras-cnn",
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    {
      "ref": "jinbao/kannada-mnist-baseline",
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    {
      "ref": "trolukovich/simple-models-benchmark-keras",
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    },
    {
      "ref": "chrisluo266/keras-for-kannada-mnist",
      "votes": 18
    },
    {
      "ref": "pavanbagli/kannadamnist-with-lenet",
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    {
      "ref": "plarmuseau/pca-svm-baseline",
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    {
      "ref": "mtszkw/kannada-mnist-eda-visualization-and-resources",
      "votes": 5
    },
    {
      "ref": "subinium/t-sne-viz-on-kannada-mnist",
      "votes": 33
    },
    {
      "ref": "heckinbamboozle/simple-capsule-net-ensemble",
      "votes": 9
    },
    {
      "ref": "vaidyaprasad84/3-layer-cnn-simple-data-augmentation",
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      "ref": "abhishekhegde1998/kannada-mnist-v1-0",
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    {
      "ref": "rhodiumbeng/kannada-mnist-convolutional-neural-network",
      "votes": 23
    },
    {
      "ref": "parulpandey/kannada-mnist-with-h2o-deeplearning",
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    {
      "ref": "marcthalen/mnist-cnn-99-top-30-using-keras",
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      "ref": "cantaoml/lightgbm",
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    {
      "ref": "zhizuijinmi/kannada-mnist-with-cnn",
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      "ref": "tunguz/pca-svm-baseline",
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    {
      "ref": "kurianbenoy/solving-kannada-mnist-with-fastai",
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      "ref": "tunguz/lightgbm-baseline",
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    {
      "ref": "hocop1/i-can-t-overfit",
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    {
      "ref": "nubatama/trial-simple-model-with-gelu-and-relu-by-keras",
      "votes": 7
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    {
      "ref": "vitorgamalemos/using-cnn-in-kannada-digits-resolution",
      "votes": 8
    },
    {
      "ref": "anshumandec94/6-layer-conv-nn-using-adam",
      "votes": 22
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    {
      "ref": "tunguz/truncatedsvd-t-sne-and-decision-tree-baseline",
      "votes": 11
    },
    {
      "ref": "billynguyen/k-nn-svm-cnn-with-keras-datageneration",
      "votes": 10
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    {
      "ref": "abhinand05/k-mnist-ensemble-of-4-models-lb-0-985-starterkit",
      "votes": 61
    },
    {
      "ref": "rohan9889/kannada-mnist-layers-visualization",
      "votes": 6
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    {
      "ref": "matheuseduardo/kannada-mnist-convnet",
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    {
      "ref": "melissarajaram/fastai-pytorch-with-best-original-mnist-arch",
      "votes": 13
    },
    {
      "ref": "robertopreste/kannada-mnist-with-keras-v1",
      "votes": 4
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    {
      "ref": "leighplt/pytorch-arcmargin",
      "votes": 8
    },
    {
      "ref": "faizu07/kannada-mnist-with-fastai",
      "votes": 35
    },
    {
      "ref": "wakamezake/kannada-mnist-efficientnet",
      "votes": 5
    },
    {
      "ref": "zhizuijinmi/kernel2",
      "votes": 1
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    {
      "ref": "plarmuseau/mnist-test-script",
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    },
    {
      "ref": "govoruha/r-keras-cnn",
      "votes": 36
    },
    {
      "ref": "aditya100/kannada-mnist-using-keras",
      "votes": 5
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    {
      "ref": "cdonohue/kannadamnist",
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    {
      "ref": "vaidyaprasad84/simple-nn-no-cnn-very-basic-model",
      "votes": 5
    },
    {
      "ref": "montimirko/kannada-mnist",
      "votes": 0
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    {
      "ref": "melissarajaram/simple-fastai-pytorch-example",
      "votes": 6
    },
    {
      "ref": "grecs2001/kannada-mnist-keras-cnn",
      "votes": 0
    },
    {
      "ref": "hocop1/manifold-mixup-using-pytorch",
      "votes": 60
    },
    {
      "ref": "rohan9889/kannada-mnist-cnn-keras",
      "votes": 13
    },
    {
      "ref": "shahules/indian-way-to-learn-cnn",
      "votes": 447
    },
    {
      "ref": "eeshsingh/mnist-with-keras-and-basic-cnn-lb-0-97",
      "votes": 4
    },
    {
      "ref": "shaygu/kannada-mnist-simple-cnn",
      "votes": 12
    },
    {
      "ref": "govoruha/r-keras-starter",
      "votes": 10
    },
    {
      "ref": "marcovasquez/basic-ml-logistic-dt-pca-xgboost",
      "votes": 98
    },
    {
      "ref": "josephvm/kannada-pytorch-visualizations",
      "votes": 35
    },
    {
      "ref": "danofer/pytorch-resnet34-starter-97-74-lb",
      "votes": 17
    },
    {
      "ref": "tunguz/kannada-mnist-logistic-regression-baseline",
      "votes": 19
    },
    {
      "ref": "pulkitmehtawork1985/simple-model-to-start",
      "votes": 22
    },
    {
      "ref": "mlneo07/kannada-mnist-linear-svm",
      "votes": 5
    },
    {
      "ref": "gmonge/pytorch-resnet34-augmentation-starter",
      "votes": 7
    },
    {
      "ref": "revyung2017/kannada-mnist",
      "votes": 7
    }
  ]
}