hai-h-nguyen
CS PhD student, working in reinforcement learning and robotics.
Northeastern UniversityBoston, USA
hai-h-nguyen's Stars
spro/practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
rdiankov/openrave
Open Robotics Automation Virtual Environment: An environment for testing, developing, and deploying robotics motion planning algorithms.
joschu/trajopt
Trajectory Optimization
mlaiacker/rosbag2video
converts image sequence in ros bag files to video files
kindredresearch/SenseAct
SenseAct: A computational framework for developing real-world robot learning tasks
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
rll/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
andyzeng/visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
jangirrishabh/Overcoming-exploration-from-demos
Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI
PINTO0309/OpenVINO-YoloV3
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
aikorea/awesome-rl
Reinforcement learning resources curated
junyanz/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
weiliu89/caffe
Caffe: a fast open framework for deep learning.
google-research/google-research
Google Research
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
ssaru/convert2Yolo
This project purpose is convert voc annotation xml file to yolo-darknet training file format
adityaanantharaman/transfer-learning
Support code for the medium blog on transfer learning. Link to the blog in the Readme file.
andrew-j-levy/Hierarchical-Actor-Critc-HAC-
This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube