MCP Server connecting to Perplexity Comet browser

A powerful browser assistant for vibe surfing 一个开源的AI浏览器智能助手

Claude-Code for Bioinformatics

🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.

Shiny Interactive Web Apps for Single-Cell Data

Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.

Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data.

Algorithm for the inference of cell types from single-cell RNA-seq data.

An R package for ECM molecule annotation, classification, and analysis

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

A comprehensive repository for understanding and reproducing the single-cell perturbation data loading pipeline from the Arc Institute's **Virtual Cell Challenge**. This repository documents the co…

Code to reproduce the analysis seen in manuscript: Charting and probing the activity of ADARs in human development and cell-fate specification (

Annotated data.

scplode: A memory-efficient and fast accessor of single cell adata files

Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent. #1 on OpenRouter. 750k+ Kilo Coders. 6.1 trillion tokens/month.

Pytorch library for fast transformer implementations

Glamourous agentic coding for all 💘

User-friendly WebUI for AI (Formerly Ollama WebUI)

High accuracy RAG for answering questions from scientific documents with citations

This project showcases a Streamlit web app that utilizes a Haystack Question Answering Pipeline for Arxiv papers with OpenAI, demonstrating information retrieval from a document database and easy d…

Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.

Virtual CRISPR Code and benchmark datasets for predicting CRISPR screen results with LLMs, as described in "Virtual CRISPR: Can LLMs Predict CRISPR Screen Results?" for the BioNLP workshop at ACL 2025