AlirezaShamsoshoara's repositories
Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
AlirezaShamsoshoara.github.io
A repository for the main website on Github
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
annotated_deep_learning_paper_implementations
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠
Carla-ppo
This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
CQL
Code for conservative Q-learning
deep-reinforcement-learning-gym
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
dreamerv2
Mastering Atari with Discrete World Models
dreamerv2-1
Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.
gail-pytorch
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
google-research
Google Research
homework
Assignments for CS294-112.
macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).
Openpilot-Deepdive
Our insights of Openpilot, a deepdive project on it
processhacker
A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
reinforcement-learning-stanford
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
tf2rl
TensorFlow2 Reinforcement Learning