Emdash is a Coding Agent Orchestration Layer

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

The glamourous AI coding agent for your favourite terminal 💘

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

Altered geomloss for implementing custom loss functions in vcc

Comprehensive suite for evaluating perturbation prediction models

State is a machine learning model that predicts cellular perturbation response across diverse contexts

Chrome Extension - Makes Google Keep editing use full browser window.

Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses

A cross-platform and ultrafast toolkit for FASTA/Q file manipulation

Export Google notes to CSV (via Google Takeout)