alirezashamsoshoara's Projects
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
A repository for the main website on Github
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🧑🏫 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. 🧠
A curated list of awesome things related to artificial intelligence tools around the world wide web
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
An index of algorithms for offline reinforcement learning (offline-rl)
A curated list of awesome self-supervised methods
OVERVIEW OF BLAKLEY'S SECRET SHARING SCHEME
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.
Example Jupyter notebooks for usage of Ciw
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Cleo allows you to create beautiful and testable command-line interfaces.
Inference code for CodeLlama models
A complete computer science study plan to become a software engineer.
Course Projects
Code for conservative Q-learning
An offline deep reinforcement learning library
A collection of reference environments for offline reinforcement learning
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....