Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders

Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI

A deep learning package for many-body potential energy representation and molecular dynamics

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

Open Source Dislocation Dynamics Simulation Framework and Libraries

90% of what you need for LLM app development. Nothing you don't.

Example implementation of Iteration of Tought - Gives a star if you like the project

Convert any PDF into a podcast episode!

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Code for Quiet-STaR

Efficient Triton Kernels for LLM Training

Go ahead and axolotl questions

Interactive Tools for Machine Learning, Deep Learning and Math

OmegaFold Release Code

High-quality datasets, tools, and concepts for LLM fine-tuning.

A framework for few-shot evaluation of language models.

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

LAMMPS input from lammpstutorials.github.io

A guidance language for controlling large language models.

4M: Massively Multimodal Masked Modeling

The pytorch implement of papar《AI-accelerated Discovery of Altermagnetic Materials》

Tools for merging pretrained large language models.

LLM training in simple, raw C/CUDA