Popular GitHub Repositories for Internal Replay

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

? Yao is an all-in-one application engine that enables developers to create web apps, REST APIs, business applications, and more, with AI as a development partner.

The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.

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.

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

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

全新的高颜值/高性能的AI模型接口管理与分发系统，仅供个人学习使用，请勿用于任何商业用途，本项目基于NewAPI开发。A brand new high aesthetic/high-performance AI model interface management and distribution system is only for personal or internal management and distribution channels of enterprises. Please do not use it for commercial purposes.

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

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

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 ...

(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.

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Deep reinforcement learning without experience replay, target networks, or batch updates.