TensorFlow examples

Torchreid: Deep learning person re-identification in PyTorch.

Simple Online Realtime Tracking with a Deep Association Metric

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Unofficial implementation of yolo nano

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

1st place models in Google OpenImage Detection Challenge 2019

ResNeSt: Split-Attention Networks

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

TensorFlow and Pytorch practice codes with purity and simplicity.

This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

SRDenseNet-pytorch（ICCV_2017）

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

Spatiotemporal CNN for Video Object Segmentation

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Spatiotemporal CNN for Video Object Segmentation

subpixel: A subpixel convnet for super resolution with Tensorflow

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

📡 Simple and ready-to-use tutorials for TensorFlow

Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)