Popular GitHub Repositories for Residual Networks

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Play deep learning with CIFAR datasets

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

Various CNN models for CIFAR10 with Chainer

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf

Using Residual Attention Networks to diagnose retinal diseases in medical images

Anomaly Detection Discriminative GAN (ADD-GAN)

A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction

Spectral mapping using residual neural network and mimic loss

A deep residual auto-encoding approach to colorize images.

Identify a potential celebrity base on a person picture

GAiA is a UCI chess engine built with C++ 17, ONNX and Pytorch. It performs an in-depth analysis and uses a complex squeeze-and-excitation residual network to evaluate each chess board.

This project implements a neural network-based chess AI using TensorFlow and Keras. The model uses convolutional layers and residual blocks to predict the best chess moves and evaluate board states. It combines policy and value predictions to create a robust chess-playing AI, inspired by AlphaZero's architecture.

Pytorch implementation of GridNet

We build and train a classifier model on ASL_Alphabet Dataset from scratch. And we fine-tune ResNet50 model which pretrained on imagenet.

This code uses power of residual connections to train a 54 layer recursive network for image superesolution task