ttt-noora's starred repositories

LLM-Optimizers-Papers

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

Stargazers:208Issues:0Issues:0

AI-Scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7427Issues:0Issues:0

GPTSwarm

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

Language:PythonLicense:MITStargazers:512Issues:0Issues:0

GPT-Swarm

GPT-Swarm is an open-source project that harnesses the power of swarm intelligence to enhance the capabilities of state-of-the-art language models. By leveraging collective problem-solving and distributed decision-making, GPT-Swarm creates a robust, adaptive, and scalable framework for tackling complex tasks across various domains.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:229Issues:0Issues:0
Language:PythonLicense:GPL-3.0Stargazers:5Issues:0Issues:0

Biological-Evolution

"Just for Fun" on Evolution...

License:CC0-1.0Stargazers:4Issues:0Issues:0

EC-A-Modern-Perspective

Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).

License:CC0-1.0Stargazers:41Issues:0Issues:0

dpop7

A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.

Language:PythonLicense:GPL-3.0Stargazers:19Issues:0Issues:0

DistributedEvolutionaryComputation

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.

License:CC0-1.0Stargazers:113Issues:0Issues:0

DistributedEvolutionaryComputation

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

License:CC0-1.0Stargazers:1Issues:0Issues:0

VectorizedMultiAgentSimulator

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

License:GPL-3.0Stargazers:1Issues:0Issues:0

MeZO

[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

Language:PythonLicense:MITStargazers:1019Issues:0Issues:0

pypop

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]

Language:PythonLicense:GPL-3.0Stargazers:191Issues:0Issues:0