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

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》

LLM training in simple, raw C/CUDA

A quick guide (especially) for trending instruction finetuning datasets

Rust bindings for the Python interpreter