Handyrl Alternatives

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
Alternatives To Handyrl
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Annotated_deep_learning_paper_implementations53,66626 months ago79November 05, 202330mitPython
🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ray29,59680363a year ago95December 04, 20233,528apache-2.0Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
D2l En21,912
9 months ago2November 13, 2022115otherPython
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Fingpt14,830
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FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Wandb9,4453962210 days ago266December 05, 20231,040mitPython
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Pytorch Tutorial7,372
2 years ago28mitJupyter Notebook
Build your neural network easy and fast, 莫烦Python中文教学
Stable Baselines37,29279a year ago80November 17, 202382mitPython
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Practical_rl5,572
a year ago40unlicenseJupyter Notebook
A course in reinforcement learning in the wild
Deep Reinforcement Learning4,635
a year ago5mitJupyter Notebook
Repo for the Deep Reinforcement Learning Nanodegree program
Trlx4,155
a year ago82mitPython
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
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