Lightning ⚡️ fast forecasting with statistical and econometric models.

Scalable and user friendly neural 🧠 forecasting algorithms.

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

Cambridge UK temperature forecast python notebooks

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).

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

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.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

🎉🎨 Papers, Code, Datasets for LLM and LVM

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Experimental version of Stable Baslines3 which expands SB3 2.2.1 to be able to define a multi algorithm training. Usage will be based on defer actions, observation space and rewards between its inner algorithms (PPO, DQN, SAC...). It is thought for projects which may rely on different strategies for different actions with a focused training

🌈 The baselines for meta-learning

Re-implementations of SOTA RL 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

A useful repository for calculating classification baselines using Bert

An index of algorithms for learning causality with data

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Baseline Python Scripts for Popular Kaggle Competitions