Biological foundation modeling from molecular to genome scale

large population models

Hifiasm: a haplotype-resolved assembler for accurate Hifi reads

A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API

Benchmarking DNA Language Models on Biologically Meaningful Tasks

Efficient Triton Kernels for LLM Training

NEURON Simulator

Generative Representational Instruction Tuning

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes

Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, and more with your permission every step of the way.

Library for modeling molecules and reactions in pytorch

tic-tac-toe in a single call to printf

xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) on multi-GPU Clusters

Accessible large language models via k-bit quantization for PyTorch.

The Memory layer for your AI apps

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

CSGHub is an open-source large model platform just like on-premise version of Hugging Face. You can easily manage models and datasets, deploy model applications and setup model finetune or inferenc…

Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

A beautiful, simple, clean, and responsive Jekyll theme for academics

The Official Repo of ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code (https://arxiv.org/abs/2311.09835)

🙌 OpenHands: Code Less, Make More

[CVPR 2024] Official repository for "Tactile-Augmented Radiance Fields".

Robust Molecular Structure Recognition with Image-to-Graph Generation

reStructured Pre-training

GPT4 based personalized ArXiv paper assistant bot

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning