🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.

Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)

resemble is an R package for similarity-based modelling and local learning in spectroscopy. It provides tools for dissimilarity computation, nearest-neighbour search, memory-based learning, and spectral library optimisation (methods designed for large, heterogeneous spectral datasets where global models underperform)

[NeurIPS'22] Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?

A collection of agent skills that give AI agents structured, reusable workflows for tackling complex problems.

METAL-SCI: a scientific compute benchmark for evolutionary LLM kernel search on Apple Silicon Metal

🧬 Autonomous algorithm discovery via LLM × evolutionary search — the open-source "AlphaEvolve for everyone"

Reusable GEPA optimizer framework for typed candidate generation, evaluation, persistence posture, tracing contracts, and deterministic prompt optimization infrastructure.

Fork of Karpathy's autoresearch with novelty-search-inspired autonomous search, run memory, and agentic review.