pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

Open source implementation of AlphaFold3

A comprehensive cancer DNA/RNA analysis and reporting pipeline

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.

A high-throughput and memory-efficient inference and serving engine for LLMs

The most no-nonsense, locally or API-hosted AI code completion plugin for Visual Studio Code - like GitHub Copilot but 100% free.

Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.

Biological foundation modeling from molecular to genome scale

InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

🦜🔗 Build context-aware reasoning applications

Point cloud diffusion for 3D model synthesis

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A beautiful and useful prompt for your shell

Cloud-native genomic dataframes and batch computing

Embeddable genomic visualization component based on the Integrative Genomics Viewer

a framework for training sequence-level deep learning networks

A workflow for identifying viral integrations in both short and long read data

A curated list of nextflow based pipelines

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

Fully automated homelab from empty disk to running services with a single command.

An analysis and visualization platform for 'omics data

Genomic software written in Go for researching stickleback genetics

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Declarative Continuous Deployment for Kubernetes

The Go kernel for Jupyter notebooks and nteract.