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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A toolkit for developing and comparing reinforcement learning algorithms.
Python sample codes for robotics algorithms.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Common used path planning algorithms with animations.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Docker 基本教學 - 從無到有 Docker-Beginners-Guide 教你用 Docker 建立 Django + PostgreSQL 📝
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
An AI agent that beats the classic game "Snake".
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Repository for most of the code from my YouTube channel
PyTorch implementation of soft actor critic
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Python port of R's Comprehensive Dynamic Time Warp algorithms package
Machine Learning library for educational purpose.
Python 3 port of the Java code in the textbook Algorithms, 4th Edition.
Calculation of forward and inverse kinematics, Jacobian matrices, dynamic modeling, trajectory planning and geometric calibration for robotic manipulators
Fabric Engine Canvas tool for full-body IK system, based on FABRIK (Forward And Backward Reaching Inverse Kinematics)
A simple Python implementation of the Reeds-Shepp curves formulas.
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
反馈跟踪控制器,控制算法工具包,ADRC自抗扰控制,PID控制,抗积分饱和PID控制,增量式PID控制,模糊FuzzyPID控制,LQR线性二次型调节器控制,启发算法控制,强化学习控制,无人机轨迹跟踪控制
台灣高鐵定票小程式 A small program help to book the tickets of Taiwan High Speed Rail (THSR).