neo884 Goto Github PK

cosda-hr

A dataset for Continual Open Set Domain Adaptation

cs231n.github.io

Public facing notes page

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gcn-anomaly-detection

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

git-training

:octocat: Don't think about git, just do git

git-tutorial

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

neo884.github.com

pg_travel

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

report_card

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-paper-study

Reinforcement Learning paper review study

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

vtr3

VT&R3 is a C++ implementation of the Teach and Repeat navigation framework. It enables a robot to be taught a network of traversable paths and then closely repeat any part of the network.