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

A quick guide (especially) for trending instruction finetuning datasets

Rust bindings for the Python interpreter

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Grok open release

The official Python Library for the Groq API

Standardized data set for machine learning of protein structure

Blazingly fast LLM inference.

A framework for prompt tuning using Intent-based Prompt Calibration

Website

Listing of papers about machine learning for proteins.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

List of papers about Proteins Design using Deep Learning

X-LoRA: Mixture of LoRA Experts

Build resilient language agents as graphs.