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repvgg

RepVGG: Making VGG-style ConvNets Great Again

ristn

Pytorch implementation AAAI 2019 paper. "Residual Invertible Spatio-Temporal Network for Video Super-Resolution"

sadnet

Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

shook_dlut

singlehdr

[CVPR 2020] Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

spatial-transformer-network

A Tensorflow Implementation of Spatial Transformer Networks

spatial-transformer-networks_pytorch

Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

strategies

quantitative trading with Javascript, Python, C++

super-slomo

PyTorch implementation of Super SloMo by Jiang et al.

tdv-for-image-denoising

This is the companion software for the paper "Higher-Order Total Directional Variation. Part I: Imaging Applications".

tensorflow-vgg16-train-and-test

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

tf

tensorflow examples

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

tutorials

机器学习相关教程

tvnet_pytorch

Tvnet implemented in pytorch

unet-segmentation-pytorch-nest-of-unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

vidcnn---learning-blind-video-denoising

VidCNN - Convolutional Neural Network for Blind Video Denoising

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

vision

Datasets, Transforms and Models specific to Computer Vision

vnlb

Video non-local Bayesian denoising

vnlnet

VNLnet is a Video denoising CNN with Non-locality information

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"