PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Lightning ⚡️ fast forecasting with statistical and econometric models.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Scalable and user friendly neural 🧠 forecasting algorithms.

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

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

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.

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

A well-documented A2C written in PyTorch

This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.

Implementations of Multi-Task and Meta-Learning baselines for the Metaworld benchmark

京东JDD猪脸识别比赛

Baseline Python Scripts for Popular Kaggle Competitions

A TF2.0 implementation of RL baselines.

OpenAI's PPO baseline applied to the classic game of Snake

An extended Upside Down Reinforcement Learning implementation based on PyTorch and Stable Baselines 3.