gym-management
Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members. (by prashant333)
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. (by DLR-RM)
| gym-management | stable-baselines3 | |
|---|---|---|
| 2 | 46 | |
| 57 | 7,988 | |
| - | 3.6% | |
| 0.0 | 8.2 | |
| about 1 year ago | 7 days ago | |
| PHP | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gym-management
Posts with mentions or reviews of gym-management.
We have used some of these posts to build our list of alternatives
and similar projects.
- doubt!! (this is a mini project that i've taken up for my college assessment so i've installed vs code and that's all what all should i install as extensions from vs code to run this project ? )
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doubt !!
https://github.com/prashant333/gym-management this is a mini project that i've taken up for my college assessment
stable-baselines3
Posts with mentions or reviews of stable-baselines3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
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Sim-to-real RL pipeline for open-source wheeled bipeds
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:
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[P] PettingZoo 1.24.0 has been released (including Stable-Baselines3 tutorials)
PettingZoo 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.
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[Question] Why there is so few algorithms implemented in SB3?
I am wondering why there is so few algorithms in Stable Baselines 3 (SB3, https://github.com/DLR-RM/stable-baselines3/tree/master)? I was expecting some algorithms like ICM, HIRO, DIAYN, ... Why there is no model-based, skill-chaining, hierarchical-RL, ... algorithms implemented there?
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Stable baselines! Where my people at?
Discord is more focused, and they have a page for people who wants to contribute https://github.com/DLR-RM/stable-baselines3/blob/master/CONTRIBUTING.md
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SB3 - NotImplementedError: Box([-1. -1. -8.], [1. 1. 8.], (3,), <class 'numpy.float32'>) observation space is not supported
Therefore, I debugged this error to the ReplayBuffer that was imported from `SB3`. This is the problem function -
- Exporting an A2C model created with stable-baselines3 to PyTorch
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
Have you ever wanted to use dm-control with stable-baselines3? Within Reinforcement learning (RL), a number of APIs are used to implement environments, with limited ability to convert between them. This makes training agents across different APIs highly difficult, and has resulted in a fractured ecosystem.
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Stable-Baselines3 v1.8 Release
Changelog: https://github.com/DLR-RM/stable-baselines3/releases/tag/v1.8.0
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[P] Reinforcement learning evolutionary hyperparameter optimization - 10x speed up
Great project! One question though, is there any reason why you are not using existing RL models instead of creating your own, such as stable baselines?
- Is stable-baselines3 compatible with gymnasium/gymnasium-robotics?
What are some alternatives?
When comparing gym-management and stable-baselines3 you can also consider the following projects:
laragym - A laravel gym management system
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.
Construct - A PHP project/micro-package generator for PDS compliant projects or micro-packages.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
wger - Self hosted FLOSS fitness/workout, nutrition and weight tracker
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
tianshou - An elegant PyTorch deep reinforcement learning library.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
gym-management vs laragym
stable-baselines3 vs Ray
gym-management vs Construct
stable-baselines3 vs stable-baselines
gym-management vs stable-baselines
stable-baselines3 vs Pytorch
gym-management vs wger
stable-baselines3 vs cleanrl
gym-management vs cleanrl
stable-baselines3 vs tianshou
stable-baselines3 vs Super-mario-bros-PPO-pytorch
stable-baselines3 vs ElegantRL