Highlights
- Pro
Stars
Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input
Minimal pretraining script for language modeling in PyTorch. Supporting torch compilation and DDP. It includes a model implementation and a data preprocessing.
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
A visual playground for agentic workflows: Iterate over your agents 10x faster
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Drop-in environment replacements that make your RL algorithm train faster.
SakanaAI / DiscoPOP
Forked from luchris429/DiscoPOPCode for Discovering Preference Optimization Algorithms with and for Large Language Models
Seamlessly integrate LLMs as Python functions
JAX implementation of the Mistral 7b v0.1 model
Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!
Optax implementation of shrink and perturb (Ash & Adams, 2020).
Machine Learning Engineering Open Book
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
This is the offcicial repo of the pygame modelling course for collective systems workshop 2022 Berlin
Multi-Agent Reinforcement Learning of Crowd Simulation in GPU (PyTorch)
A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_repo…
[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, ope…
Package for working with hypernetworks in PyTorch.
Easy Hypernetworks in Pytorch and Jax