reinforcement-learning

Open-source projects categorized as reinforcement-learning | Edit details
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Related topics: #Deep Learning #Machine Learning #Pytorch #Python #deep-reinforcement-learning

Top 23 reinforcement-learning Open-Source Projects

  • Ray

    An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

    Project mention: Help needed to understand Rllib attention model parameters | reddit.com/r/reinforcementlearning | 2022-05-07

    Cross-posting the answer from the ray.io Discourse forum:

  • applied-ml

    📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

    Project mention: Top Github repo trends in 2021 | dev.to | 2022-01-12

    The second repo I LOVE is Eugene Yan’s Applied ML repository. This is a brilliant idea to create and actually something I was planning on sort of casually doing in my non-existent free time… Anyhow, it is a curated list of technical posts from top engineering teams (Netflix, Amazon, Pinterest, Linkedin, etc.) detailing how they built out different types of AI/ML systems (e.g. forecasting, recommenders, search and ranking, etc.). Ofc, it focuses on AI/ML, but something similar could be made for the traditional or BI-oriented analytics stack, as well as the streaming world, super high value for practitioners! Btw-one of my favorite things at BCG used to be looking at our IT architecture team’s reference architecture diagrams… the best way to understand technologies is to look at how a ton of stuff is architected… and its fun!

  • SonarLint

    Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.

  • ml-agents

    The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

    Project mention: How do I compare different ML-Agent Models in Tensorboard??? | reddit.com/r/Unity3D | 2022-05-19

    I found this video quite useful: https://youtu.be/NP5q72XYdTs and there is the docs here https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Using-Tensorboard.md

  • tensor2tensor

    Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

    Project mention: [D] Resources for Understanding The Original Transformer Paper | reddit.com/r/MachineLearning | 2021-09-08

    Code for https://arxiv.org/abs/1706.03762 found: https://github.com/tensorflow/tensor2tensor

  • reinforcement-learning-an-introduction

    Python Implementation of Reinforcement Learning: An Introduction

    Project mention: Reinforcement Learning - looking for some resources | reddit.com/r/reinforcementlearning | 2022-04-09

  • deep-learning-drizzle

    Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

    Project mention: Consolidated Video lectures for Machine Learning(including DL, CV, NLP, etc) | reddit.com/r/developersIndia | 2022-01-22

    Also this as well for whoever needs it

  • Bullet

    Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

    Project mention: Help with installing a program from bitbucket! | reddit.com/r/linux4noobs | 2022-05-09

    Could this be the library it's talking about? https://github.com/bulletphysics/bullet3

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

  • nn

    🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

    Project mention: How to convert research papers to code? | reddit.com/r/MLQuestions | 2022-04-23

  • vowpal_wabbit

    Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

    Project mention: [Discussion] Support Vector Machines... in 2022 | reddit.com/r/MachineLearning | 2022-04-05

    2) A lot of people have worked on making SVMs scalable. But you have to realize that scikit learn is a library that only offers basic versions of basic algorithms, so if you think you'll find advanced approaches to SVM scalability there you'll end up disappointed. But there are versions that use GPUs or a multithreaded implementation for the computation of the kernel matrices (which is the most expensive part of training). The "solver" (=optimizer) part of an SVM can also be scaled. scikit-learn relies on libsvm for its solver, which by default is single threaded. But nothing stops you from applying other solvers (e.g. Gradient Descent, with all of it's niceties) to the problem. I'm not sure what's the state of the art today, but it used to be that e.g. vowpal wabbit had a bunch of really fast, scalable SVM algorithms.

  • pysc2

    StarCraft II Learning Environment

    Project mention: How A.I. Conquered Poker | news.ycombinator.com | 2022-01-18

  • TensorLayer

    Deep Learning and Reinforcement Learning Library for Scientists and Engineers

    Project mention: Introduction to ‘TensorLayer’: A Python-based Versatile Deep Learning Library Designed for Machine Learning Researchers | reddit.com/r/Python | 2022-02-20

    Github: https://github.com/tensorlayer/TensorLayer

  • trax

    Trax — Deep Learning with Clear Code and Speed

    Project mention: [D] Paper Explained - Sparse is Enough in Scaling Transformers (aka Terraformer) | Video Walkthrough | reddit.com/r/MachineLearning | 2021-12-01

    Code: https://github.com/google/trax/blob/master/trax/examples/Terraformer_from_scratch.ipynb

  • amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    Project mention: amazon-sagemaker-examples: Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker. | reddit.com/r/u_TsukiZombina | 2022-04-18

  • awesome-artificial-intelligence

    A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

  • machine_learning_examples

    A collection of machine learning examples and tutorials.

    Project mention: How to save an attention model for deployment/exposing to an API? | reddit.com/r/deeplearning | 2021-08-17

    I've been following a course teaching how to make an attention model for neural machine translation, This is the file inside the repo. I know that I'll have to use certain functions to make the textual input be processed in encodings and tokens, but those functions use certain instances of the model, which I don't know if I should keep or not. If anyone can please take a look and help me out here, it'd be really really appreciated.

  • Practical_RL

    A course in reinforcement learning in the wild

    Project mention: [D] implementation of MCTS in Python | reddit.com/r/MachineLearning | 2021-12-04

  • neurojs

    A JavaScript deep learning and reinforcement learning library.

  • client

    🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API. (by wandb)

    Project mention: Roadmap for learning MLOps (for DevOps engineers) | reddit.com/r/mlops | 2022-01-31

    I want to take a look at tools like https://wandb.ai/ and they would integrate into some of the pipelines I'm playing with.

  • stable-baselines

    A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

    Project mention: weird mean reward graph | reddit.com/r/reinforcementlearning | 2022-03-10

    As you will see here it is recommended to augment this safety measure with target kl_divergence, that will ensure even smoother learning and enforce early stopping to prevent learning collapses.

  • stable-baselines3

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

    Project mention: Change learning rate of a saved model | reddit.com/r/reinforcementlearning | 2022-01-24

    Looking at the code in base_class.py, it looks like it uses a learning rate scheduler with an initial value set with self.learning_rate. Have you tried setting the value of model.learning_rate?

  • Reinforcement-Learning

    Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)

  • open_spiel

    OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

    Project mention: Are there any other high-quality pre-built Python training environments other than Open AI's GYM? | reddit.com/r/reinforcementlearning | 2022-04-30

    OpenSpiel for reinforcement learning in games

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-05-19.

reinforcement-learning related posts

Index

What are some of the best open-source reinforcement-learning projects? This list will help you:

Project Stars
1 Ray 20,487
2 applied-ml 19,667
3 ml-agents 12,878
4 tensor2tensor 12,288
5 reinforcement-learning-an-introduction 11,474
6 deep-learning-drizzle 10,089
7 Bullet 9,308
8 TensorFlow-Tutorials 8,996
9 nn 8,851
10 vowpal_wabbit 7,955
11 pysc2 7,514
12 TensorLayer 7,004
13 trax 6,909
14 amazon-sagemaker-examples 6,892
15 awesome-artificial-intelligence 6,763
16 machine_learning_examples 6,743
17 Practical_RL 4,962
18 neurojs 4,340
19 client 3,888
20 stable-baselines 3,529
21 stable-baselines3 3,476
22 Reinforcement-Learning 3,385
23 open_spiel 3,181
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