Open MMLab Detection Toolbox and Benchmark

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Deep Residual Learning for Image Recognition

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

visual tracker benchmark results

gfw_whitelist

Caffe Protofiles for MSRA ResNet: train prototxt

caffe for Self-supervised Structure-sensitive Learning, CVPR'17

ZED SDK interface sample with OpenCV 3.1

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

caffe/MXNet env without opencv

CNN architecture for articulated human pose estimation

Theano-based implementation of Deep Q-learning

Code samples for my book "Neural Networks and Deep Learning"

💬 A better WeChat on macOS and Linux. Fewer bugs, more features. Built with Electron by Zhongyi Tong.

Instructions for setting up the software on your deep learning machine

Caffe: a fast open framework for deep learning.

Stereo convolutional neural network for depth map prediction from stereo images

Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.

conversation of caffe vgg16 model to tensorflow

Summer Research Fellowship Work at IITD

Kinect Depth and RGB camera calibration and Virtual Mirror application - CS6240, CS, NUS, 2011

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.