PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
Jul 20, 2024 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Scalable and user friendly neural 🧠 forecasting algorithms.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
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
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
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
This is an open-source repository for creating environments based on engineering problems and solving them using RL
Image restoration models that can be used as a baseline (last updated 10/1/21)
By a chance of time forecasting competition, we build this repository for baselines.
Official repository of the evaluation script and baselines for the EVALITA Dank Memes 2020 task
A TF2.0 implementation of RL baselines.
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