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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

ddpg

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dnac-python-path-trace

DNAC Path Trace using python scripts

dqn-obstacle-avoidance

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

drl

dual-pixel-exploration-simultaneous-depth-estimation-and-image-restoration

CVPR 2021

dynamic-path-planner-using-probabilistic-roadmaps

Changes may occur in static maps due to introduction of obstacles, other agents or some other changes in the environment that render the path unusable. As there is a need to address efficient re-planning in dynamic scenarios, in this paper, we investigate an algorithm that can store a road-map of the environment and use it to efficiently recompute a path to the destination in the advent of such environmental changes. Finally, we compare this algorithm with other standard path planning algorithms like A* and RRT, to study the performance increase in computation time and path length obtained by leveraging the same.

face-attributes-mobile

Regress Face Attributes with MobileNetV2

frenet_path_planning

无人车路径规划算法demo

google-research

Google Research

learning-single-camera-depth-estimation-using-dual-pixels

This Repo is an implementation of paper titled "Learning Single Camera Depth Estimation using Dual-Pixels"

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

maplessnavigation

reinforcement learning algorithm for mapless navigation

matlab-rrt-variants

RRT*, RRT-connect, lazy RRT and RRT extend have been implemented for 2d and 3d c-spaces with visualization

motion-planning-algorithms

Matlab Implementations of some basic motion planning algorithms, such as A*, RRT, RRT*, Minimum Snap Trajectory Generation, etc..

pathfinding3d.js

Path-finding library for 2D or 3D graphs

picar-bypython

树莓派wifi小车

pointcloud_ground_detection

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

pytorch-a3c-1

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch_car_caring

Reinforcement Learning for Gym CarRacing-v0 with PyTorch

recurrent-defocus-deblurring-synth-dual-pixel

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data".

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

rlexample

Some basic examples of playing with RL

rlzoo

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀