PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
-
Updated
Jun 13, 2024 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Lightning ⚡️ fast forecasting with statistical and econometric models.
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
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
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
京东JDD猪脸识别比赛
Baseline Python Scripts for Popular Kaggle Competitions
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
A TF2.0 implementation of RL baselines.
OpenAI's PPO baseline applied to the classic game of Snake
Image restoration models that can be used as a baseline (last updated 10/1/21)
Keras implementation of deep-q-network for Atari breakout of OpenAI Gym.
Add a description, image, and links to the baselines topic page so that developers can more easily learn about it.
To associate your repository with the baselines topic, visit your repo's landing page and select "manage topics."