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🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Code release for the ICLR 2023 conference paper "DeFog: Decision Transformer under Random Frame Dropping"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is the official code of our paper "Diversity-based Trajectory and Goal Selection with Hindsight Experience Relay" [PRICAI 2021].
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
A toolkit for developing and comparing reinforcement learning algorithms.
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Implementation of Russo and Van Roy work on Information Directed Sampling (2017)
Author's implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization"
Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
MuZero
Benchmark datasets, data loaders, and evaluators for graph machine learning
A benchmark environment for fully cooperative human-AI performance.
codes for paper "Pose-aware Attention Network for Flexible Motion Retargeting by Body Part" (TVCG2023)
Rainbow: Combining Improvements in Deep Reinforcement Learning
Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
An elegant PyTorch deep reinforcement learning library.
Train transformer language models with reinforcement learning.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.