Pinned Repositories
airlearning
Public repository for Air Learning project
Andrew-Ng-Deep-Learning-notes
吴恩达《深度学习》系列课程笔记及代码
awesome-deep-rl
For deep RL and the future of AI.
awesome-deep-rl-1
A curated list of awesome Deep Reinforcement Learning resources.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
airopti's Repositories
airopti/airlearning
Public repository for Air Learning project
airopti/awesome-deep-rl
For deep RL and the future of AI.
airopti/awesome-deep-rl-1
A curated list of awesome Deep Reinforcement Learning resources.
airopti/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
airopti/CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
airopti/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
airopti/Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
airopti/gym-minigrid
Minimalistic gridworld package for OpenAI Gym
airopti/gymfc
A universal flight control tuning framework
airopti/learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
airopti/models
Models and examples built with TensorFlow
airopti/MulticopterSim
Simple C++ cross-platform Multirotor flight simulator using UnrealEngine4
airopti/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
airopti/Practical_RL
A course in reinforcement learning in the wild
airopti/PublicCourse
Homeworks for public courses.
airopti/PyRep
A toolkit for robot learning research.
airopti/pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
airopti/Qwiic_TCA9548A_Py
Python package for the Qwiic Mux Breakout - 8 Channel (TCA9548A)
airopti/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
airopti/rainbow-iqn-apex
Distributed Rainbow-IQN for Atari
airopti/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
airopti/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
airopti/rlpyt
Reinforcement Learning in PyTorch
airopti/robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
airopti/rotors_simulator
RotorS is a UAV gazebo simulator
airopti/SOTA-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
airopti/spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
airopti/srl-zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
airopti/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
airopti/Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB