fragile
maze
| fragile | maze | |
|---|---|---|
| 1 | 4 | |
| 45 | 258 | |
| - | 1.2% | |
| 7.6 | 0.0 | |
| 7 months ago | 12 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
fragile
-
[D] What left-field approaches to AI do you know of?
Found this tech (and their related white paper) last year and it seems really interesting. Using fundamental concepts from thermodynamics as the foundation for an optimization algo. https://github.com/FragileTech/fragile
maze
-
[P] Maze: A Framework for Applied Reinforcement Learning
Check out Maze on GitHub - we'd love feedback from anybody with an interest and/or experience in reinforcement learning!
-
Maze: A Framework for Applied Reinforcement Learning
Check out Maze on GitHub and its documentation here.
-
Is there a consensus about RL frameworks?
For industrial and logistics problems this one looks promising: https://github.com/enlite-ai/maze saw their presentation 2 weeks ago at an international AI conference and was surprised that its already in use and available on github.
- MazeRL - Applied Reinforcement Learning with Python
What are some alternatives?
q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
nle - The NetHack Learning Environment
dm_env - A Python interface for reinforcement learning environments
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.
RL-Adventure - Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
multirotor - Multicopter UAV simulation for control/RL experiments.
lumos - Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"