hangwudy's repositories
julia
The Julia Language: A fresh approach to technical computing.
100-Days-Of-ML-Code
100 Days of ML Coding
Deep-Learning-World
:satellite: Organized Resources for Deep Learning Researchers and Developers
PoseCNN
A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
protobuf
Protocol Buffers - Google's data interchange format
autokeras
This is an automated machine learning (AutoML) package.
darknet_ros
YOLO ROS: Real-Time Object Detection for ROS
NCCL
Windows version of NVIDIA's NCCL ('Nickel') for multi-GPU training - please use https://github.com/NVIDIA/nccl for changes.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
BoomMine
BoomMine - An CV-Based Minesweeper Cheat
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
NP_ML
A tool library which implement classical machine learning algorithms with numpy.
tricks
tricks in the learning process
caffe-segnet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
carla
Open-source simulator for autonomous driving research.
deeplearningbook-chinese
Deep Learning Book Chinese Translation
faceswap-GAN
A denoising autoencode + adversarial loss for face swapping.
NYUDepthNet
A Tensorflow interface for the paper: Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture (***Deprecated***)
listen1_chrome_extension
one for all free music in china (chrome extension, also works for firefox)
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
roboinstruct-2
Train a robot to see the environment and autonomously perform different tasks
CS294
Deep Reinforcement Learning Homework
cs20si
My solutions to Stanford's CS20si: Tensorflow for Deep Learning Research.
deep-rl-berkeley
Solving homeworks for Berekeley Deep Reinforcement Learning Course
crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
rcnn
R-CNN: Regions with Convolutional Neural Network Features