Popular GitHub Repositories for Session Replay

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Modularized Implementation of Deep RL Algorithms in PyTorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

? PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.

Claude Code Session Manager

KHAN-MD — The Next Generation WhatsApp Bot Built on Baileys Multi-Device. Fast, Smart & Packed with Features. KHAN-MD brings you Auto-AI Replies, Media Tools, Group Utilities, Secure Session System, and a Dynamic Plugin Loader — all within a Sleek Console Interface and CyberGlow Themed Logs. Run it. Flex it. Dominate the Chat Universe.

?Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

Recommender Systems Paperlist that I am interested in

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Codai is an AI code assistant that helps developers through a session-based CLI, providing intelligent code suggestions, refactoring, and code reviews based on the full context of the project.

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.