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1. ViT-CIFAR ViT-CIFAR Public

   PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 8…

   Python 168 26

2. MLP-Mixer-CIFAR MLP-Mixer-CIFAR Public

   PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from scratch.

   Python 28 6

3. image-classification-pytorch image-classification-pytorch Public

   A collection of image classification models along with results for CIFAR-10/100.

   Python 2

4. FastNST-TF2 FastNST-TF2 Public

   Re-implementation for Fast Neural Style Transfer[Johnson, J.(ECCV'16)] in TensorFlow2.

   Python

5. UNet UNet Public

   Re-implementation of U-Net[Ronneberger, O.(MICCAI15)] in PyTorch.

   Python

6. TransGAN-PyTorch TransGAN-PyTorch Public

   (Ongoing) Unofficial re-implementation of TransGAN[Jiang, Y.(2021)].

   Python 3 2