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Top 23 Python reinforcement-learning Projects
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Ray
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.
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
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wandb
π₯ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
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stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
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Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
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dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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SaaSHub
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Project mention: Ray: Unified framework for scaling AI and Python applications | news.ycombinator.com | 2024-05-03
Project mention: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev | dev.to | 2024-02-05Weights & Biases β The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management. Free tier for personal projects only, with 100 GB of storage included.
Does that mean that the example I found on the internet is wrong (I think it comes from a DL Course, so I'd imagine it is not wrong)? or does it mean that I am comparing two different things? I guess this has to deal with right and left eigen vectors as u/JanneJM pointed out in her comment?
The latest release (v3.0.0) of Upkie's software brings a functional sim-to-real reinforcement learning pipeline based on Stable Baselines3, with standard sim-to-real tricks. The pipeline trains on the Gymnasium environments distributed in upkie.envs (setup: pip install upkie) and is implemented in the PPO balancer. Here is a policy running on an Upkie:
Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the βtraxβ repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
"Show HN: Ghidra Plays Mario" (2023) https://news.ycombinator.com/item?id=37475761 :
[RL, MuZero reduxxxx ]
> Farama-Foundation/Gymnasium is a fork of OpenAI/gym and it has support for additional Environments like MuJoCo: https://github.com/Farama-Foundation/Gymnasium#environments
> Farama-Foundatiom/MO-Gymnasiun: "Multi-objective Gymnasium environments for reinforcement learning": https://github.com/Farama-Foundation/MO-Gymnasium
Project mention: [P] PettingZoo 1.24.0 has been released (including Stable-Baselines3 tutorials) | /r/reinforcementlearning | 2023-08-24PettingZoo 1.24.0 is now live! This release includes Python 3.11 support, updated Chess and Hanabi environment versions, and many bugfixes, documentation updates and testing expansions. We are also very excited to announce 3 tutorials using Stable-Baselines3, and a full training script using CleanRL with TensorBoard and WandB.
Project mention: Recapping the AI, Machine Learning and Data Science Meetup β May 2, 2024 | dev.to | 2024-05-02Transformer Reinforcement Learning X on GitHub
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09
Python reinforcement-learning related posts
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Deep Reinforcement Learning: Zero to Hero
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Recapping the AI, Machine Learning and Data Science Meetup β May 2, 2024
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Bayesianbandits: A Pythonic microframework for multi-armed bandit problems
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Adding Weapons
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Understand how transformers work by demystifying all the math behind them
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Show HN: An end-to-end reinforcement learning library for infinite horizon tasks
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Show HN: Easily train AlphaZero-like agents on any environment you want
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A note from our sponsor - InfluxDB
www.influxdata.com | 21 May 2024
Index
What are some of the best open-source reinforcement-learning projects in Python? This list will help you:
Project | Stars | |
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1 | Ray | 31,414 |
2 | d2l-en | 21,922 |
3 | reinforcement-learning-an-introduction | 13,229 |
4 | wandb | 8,328 |
5 | machine_learning_examples | 8,114 |
6 | stable-baselines3 | 8,082 |
7 | trax | 7,964 |
8 | pysc2 | 7,931 |
9 | PaLM-rlhf-pytorch | 7,609 |
10 | TensorLayer | 7,296 |
11 | Gymnasium | 5,859 |
12 | keras-rl | 5,492 |
13 | cleanrl | 4,564 |
14 | trlx | 4,344 |
15 | stable-baselines | 4,000 |
16 | dm_control | 3,578 |
17 | polyaxon | 3,494 |
18 | ElegantRL | 3,478 |
19 | pytorch-a2c-ppo-acktr-gail | 3,423 |
20 | acme | 3,398 |
21 | tensorforce | 3,284 |
22 | football | 3,253 |
23 | catalyst | 3,234 |
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