稳定基线的PyTorch版本,强化学习算法的可靠实现。
baselines 开源项目推荐(70 个)
baselines 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 70 个仓库使用统计和计量经济学模型的闪电般快速预测。
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
可扩展且用户友好的神经预测算法。
An index of algorithms for learning causality with data
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
采用统计与计量经济学方法的概率分层预测
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Multi-turn dialogue baselines written in PyTorch
Re-implementations of SOTA RL algorithms.
Intunebaselines by Wolkenman.nl
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
A well-documented A2C written in PyTorch
Some common recommendation system baseline, with description and link.
Implementations of Multi-Task and Meta-Learning baselines for the Metaworld benchmark
An OpenAI Gym and Reinforcement Learning Library built in Typescript 🤖
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/baselines。
- 该话题在 GitHub 上共有 70 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3.6 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。