Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Pytorch cifar10Pretrained TorchVision models on CIFAR10 dataset (with weights)
SimclrA PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
NnpulearningNon-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
NaszillaNaszilla is a Python library for neural architecture search (NAS)
TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Cot[ICLR'19] Complement Objective Training
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Randwire tensorflowtensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
ResnetTensorflow ResNet implementation on cifar10
Pytorch image classificationPyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Autogan[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Cifar-AutoencoderA look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
cifar10Predict CIFAR-10 labels with 88% accuracy using keras.
PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
deeplearning-mpoReplace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
ReZero-ResNetUnofficial pytorch implementation of ReZero in ResNet
Classification NetsImplement popular models by different DL framework. Such as tensorflow and caffe
pcdarts-tf2PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.
numpy-cnnA numpy based CNN implementation for classifying images
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
gans-2.0Generative Adversarial Networks in TensorFlow 2.0