Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch Tutorial for Deep Learning Researchers
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
An elegant PyTorch deep reinforcement learning library.
Minimal PyTorch implementation of YOLOv3
算法/数据结构/Python/剑指offer/机器学习/leetcode
Tensorforce: a TensorFlow library for applied reinforcement learning
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
MetaDrive: Open-source driving simulator
Gazebo/ROS packages for underwater robotics simulation
Implementation of multiple image stitching
Traffic scenario definition and execution engine
Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
Reinforcement Learning codebase for self-driving car in Carla
Conducts image stitching upon an input video to generate a panorama in 3D
Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator
🖼 Stitching images into 360 panoramas
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
ROBEL: Robotics Benchmarks for Learning with low-cost robots
剑指Offer（第二版）/程序员代码面试指南（第2版）/LeetCode/LintCode