Stars
一个简洁易用3D场景创建和控制工具。基于ThreeJS。纯Python接口。它适用于科研、多智能体强化学习领域的3D演示、娱乐等应用。
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
An offline deep reinforcement learning library
Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
Collection of reinforcement learning algorithms
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
Computer Vision(04711432) | Peking Univ. ECE Course Materials
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Crowdfunding open source projects: use OpenReview's high-quality review data to fine-tune a professional review and response LLM. 众筹开源项目：利用OpenReview的优质审稿数据，微调出一个专业的审稿和审稿回复GPT
ChatGPT - Review & Rebuttal: A browser extension for generating reviews and rebuttals, powered by ChatGPT. 利用 ChatGPT 生成审稿意见和回复的浏览器插件
A collection of reference environments for offline reinforcement learning
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Source code for Twitter's Recommendation Algorithm
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An elegant PyTorch offline reinforcement learning library for researchers.
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
Acceptance rates for the major AI conferences