PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
-
Updated
Oct 26, 2026 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
baselinesHere are 70 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
python machine-learning reinforcement-learning robotics pytorch toolbox openai gym reinforcement-learning-algorithms sde baselines stable-baselines sb3 gsde
Lightning ⚡️ fast forecasting with statistical and econometric models.
python data-science machine-learning statistics time-series econometrics forecasting predictions arima theta prophet automl naive ets fbprophet exponential-smoothing baselines neuralprophet seasonal-naive mstl
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
python data-science machine-learning reinforcement-learning toolbox openai gym reinforcement-learning-algorithms baselines
Scalable and user friendly neural 🧠 forecasting algorithms.
machine-learning deep-neural-networks deep-learning time-series neural-network pytorch transformer forecasting tft hint baselines probabilistic-forecasting robust-regression hierarchical-forecasting deepar baselines-zoo nbeats esrnn nbeatsx nhits
An index of algorithms for learning causality with data
awesome learning-to-rank recommender-system causality causality-analysis causal-inference multilabel-classification baselines causality-algorithms unconfoundedness-assumption
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.
python statistics timeseries time-series reconciliation econometrics forecasting hierarchical mint forecasting-models topdown coherent probabilistic-models erm baselines time-series-forecasting bottomup middleout hierarchical-forecast permbu
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
arm reinforcement-learning robotics state pytorch kuka gym representation-learning baxter-robot pybullet baselines
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).
machine-learning reinforcement-learning robotics pytorch toolbox gym efficient-algorithm pybullet baselines exploration-strategy
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
gem assessment literature experiments reproduction ewc lifelong-learning baselines continual-learning elastic-weight-consolidation lwf icarl synaptic-intelligence agem gdumb
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
python machine-learning reinforcement-learning openai-gym toolbox openai gym rl baselines stable-baselines
Multi-turn dialogue baselines written in PyTorch
chatbot transformer seq2seq attention gcn hred baselines self-attention gat multi-head kgcvae wseq recosa vhred hran hred-attn dshred word-level-attention utterance-level-attention dailydialog
Re-implementations of SOTA RL algorithms.
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
pytorch vgg mnist-classification lenet densenet resnet googlenet resnext mobilenet shufflenet dual-path-networks senet baselines capsnet mobilenetv2 pnasnet preact-resnet
A well-documented A2C written in PyTorch
python deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning openai-gym python3 pytorch reinforcement-learning-algorithms advantage actor-critic pytorch-tutorial reinforcement-learning-agent advantage-actor-critic a2c baselines pytorch-implementation stable-baselines episode-rollout
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.
deep-learning tensorflow physical-modeling multi-task-learning baselines traffic-flow-prediction spatial-attention graph-neural-networks temporal-attention spatio-temporal-attention generative-inference
Add this topic to your repoTo associate your repository with the baselines topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |