cifar10

Transformers-in-pytorch

Relativistic-average-GAN-Keras

The implementation of Relativistic average GAN with Keras

Caffe2-Tutorial

Caffe2 C++/Python tutorial with full demo

CifarVAE

Variational Auto Encoder

Federated-Learning-Mini-Framework

Federated Learning mini-framework with Keras

contrastive2021

Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743)

cifar10

Predict CIFAR-10 labels with 88% accuracy using keras.

PoDD

Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.

Vision-Transformer-ViT

Pytorch ViT for Image classification on the CIFAR10 dataset

RandWire_tensorflow

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

PyTorch-CIFAR10

practice on CIFAR10 with PyTorch

ResNet-PyTorch-CIFAR10

PyTorch implementation of residual networks trained on CIFAR-10 dataset (2017)

deeplearning-mpo

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

InfoMatch

IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification

Vision-Transformer-CIFAR10

Pytorch implementation of some vision transformers, trained on CIFAR-10.

keras-deep-learning

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

deep_learning_python_intro

Materials for the course on programming deep neural networks in Python (Russian)

CNN-compression-performance

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

implementation-of-pruning-filters

A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS

pcdarts-tf2

PC-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.

pytorch-mgpu-cifar10

testing multi gpu for pytorch

PyTorch-ECGAN

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

cifar_pytorch-lightning

CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning

FILM-Ensemble

[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

ensLoss

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification

ReZero-ResNet

Unofficial pytorch implementation of ReZero in ResNet

Neural_Networks_for_Computer_Vision

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

one-pixel-attack

PyTorch implementation of "One Pixel Attack for Fooling Deep Neural Networks"

theano-xnor-net

Theano implementation of XNOR-Net

temporal-ensembling-semi-supervised

Keras implementation of temporal ensembling(semi-supervised learning)

RareGAN

[AAAI 2022] RareGAN: Generating Samples for Rare Classes

VQ-VAE-Images

PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

CIFAR-10_PyTorch

Implement MobileNets architecture in PyTorch using the CIFAR 10 dataset

resnet-cifar10

ResNet for Cifar10

JAX-ResNet-CIFAR10

Simple CIFAR10 ResNet example with JAX.