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adversarial_autoencoder

Implementation of Adversarial Autoencoder with Theano

certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

chainer

A flexible framework of neural networks for deep learning

chainer-gan-lib

Chainer implementation of recent GAN variants

chainer-resnet

Deep Residual Network implementation by Chainer

cupy

NumPy-like API accelerated with CUDA

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

eschernet

EscherNet: A Generative Model for Scalable View Synthesis

fast-dit

Fast Diffusion Models with Transformers

lsgan

Chainer implementation of Least Squares GAN (LSGAN)

meta_sequential_prediction

mini-imagenet

Generate mini-ImageNet with ImageNet for fewshot learning

models

Models built with TensorFlow

prototypical-networks-for-few-shot-learning-pytorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

sprites

Sprites video data used in the ICML 2018 paper

srt

Independent PyTorch implementation of Scene Representation Transformer

stackgan

tensorflow-resnet

ResNet model in TensorFlow

vae

Implementation of Variational Auto Encoder with Chainer

vat

Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"

vat_chainer

Implementation of Virtual adversarial training with chainer

vat_tf

Virtual adversarial training with Tensorflow

vision

Datasets, Transforms and Models specific to Computer Vision