lumos
maze
| lumos | maze | |
|---|---|---|
| 4 | 4 | |
| 413 | 258 | |
| 44.6% | 1.2% | |
| 8.9 | 0.0 | |
| about 2 months ago | 16 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.
lumos
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Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
Guess you are looking for this - https://github.com/allenai/lumos/blob/main/README.md
- [R] Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
maze
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[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!
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Maze: A Framework for Applied Reinforcement Learning
Check out Maze on GitHub and its documentation here.
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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?
Awesome-Prompt-Engineering - This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
emukit - A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
SwiftSage - SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ToolEmu - A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use
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.