Top 23 rl Open-Source Projects

• dopamine

  3 10,367 4.8 Jupyter Notebook

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  

• tianshou

  8 7,378 9.5 Python

  An elegant PyTorch deep reinforcement learning library.

  

Project mention: Is it better to not use the Target Update Frequency in Double DQN or depends on the application? | /r/reinforcementlearning | 2023-07-05

The tianshou implementation I found at https://github.com/thu-ml/tianshou/blob/master/tianshou/policy/modelfree/dqn.py is DQN by default.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• muzero-general

  14 2,373 0.0 Python

  MuZero

Project mention: Open source rules engine for Magic: The Gathering | news.ycombinator.com | 2023-12-14

I went looking for MuZero implementations in order to see how, exactly, they interact with the game space. Based on this one, which had the most stars in the muzero topic, it appears that it needs to be able to discern legal next steps from the current game state https://github.com/werner-duvaud/muzero-general/blob/master/...

So, I guess for the cards Forge has implemented one could MuZero it, but I believe it's a bit chicken and egg with a "free text" game like M:TG -- in order to train one would need to know legal steps for any random game state, but in order to have legal steps one would need to be able to read and interpret English rules and card text

• rl-baselines3-zoo

  11 1,777 6.3 Python

  A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  

Project mention: Can't solve MountainCar-v0 with A2C algorithm (stable-baselines3) | /r/reinforcementlearning | 2023-06-27

I'm trying to solve MountainCar-v0 enviroment from gymnasium with the A2C algorithm and the agent doesn't find a solution. I checked this so I added import stable_baselines3.common.sb2_compat.rmsprop_tf_like as RMSpropTFLike. Also checked the rl-baselines3-zoo for the hyperparameter tuning. So my code is:

• rl-baselines-zoo

  2 1,106 0.0 Python

  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

• rliable

  15 694 2.5 Jupyter Notebook

  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  

• Papers-in-100-Lines-of-Code

  3 572 7.0 Python

  Implementation of papers in 100 lines of code.

Project mention: How do I run this code from Papers in 100 lines of code? | /r/NeuralRadianceFields | 2023-09-22

I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• neptune-client

  24 531 9.6 Python

  📘 The MLOps stack component for experiment tracking

  

Project mention: Show HN: A gallery of dev tool marketing examples | news.ycombinator.com | 2023-10-07

Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/.

Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase, Posthog, Auth0).

So past year and a half, I’ve been screenshoting examples of how companies that are good at dev marketing do things like pricing, landing page design, ads, videos, blog conversion ideas. And for each example I added a note as to why I thought it was good.

Now, it is ~140 examples organized by tags so you can browse all or get stuff for a particular topic.

Hope it is helpful to some dev tool founders and marketers in here.

wdyt?

Also, I am always looking for new companies/marketing ideas to add to this, so if you’d like to share good examples I’d really appreciate it.

• stable-baselines3-contrib

  6 422 6.6 Python

  Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

  

Project mention: Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm. | /r/reinforcementlearning | 2023-12-09

# https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/blob/master/sb3_contrib/tqc/tqc.py :

• skrl

  7 401 9.3 Python

  Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

• drq

  1 398 0.0 Jupyter Notebook

  DrQ: Data regularized Q

• opennars

  5 369 0.0 Java

  OpenNARS for Research 3.0+

  

• learning-to-drive-in-5-minutes

  1 277 0.0 Python

  Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

• stable-baselines

  2 277 0.0 Python

  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms (by Stable-Baselines-Team)

  

• Pytorch-PCGrad

  1 265 1.8 Python

  Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

• BakkesModSDK

  55 210 2.5 C++

  The current BakkesModSDK (Unofficial SDK for Rocket League)

  

Project mention: How do we upload videos? | /r/RocketLeagueSchool | 2023-06-25

Install BakkesMod

• rsrl

  1 162 0.0 Rust

  A fast, safe and easy to use reinforcement learning framework in Rust.

• pytorch-learn-reinforcement-learning

  3 139 0.0 Python

  A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

• BakkesMod2-Plugins

  13 94 0.0 C++

  Default plugins for BakkesMod 2 (A Rocket League training framework)

  

• DeepBeerInventory-RL

  1 72 0.0 Python

  The code for the SRDQN algorithm to train an agent for the beer game problem

  

Project mention: economics-related project idea | /r/csMajors | 2023-06-09

• bevy_rl

  1 65 4.9 Rust

  Reinforcement Learning environments with Bevy

• Gradient-Samples

  0 61 0.0 C#

  Samples for TensorFlow binding for .NET by Lost Tech

  

• Stochastic-muzero

  1 41 4.5 Python

  Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

• SaaSHub

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• A note from our sponsor - SaaSHub
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