Official inference framework for 1-bit LLMs

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

A good looking terminal emulator which mimics the old cathode display...

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

A command-line tool for reading SAM/BAM files and converted them directly to bigwig files.

Probabilistic generative model to perform inference in attributed multilayer networks, where both edges and attributes can have arbitrary data types.

A list of recommended Python libraries, and resources, intended for scientific Python users.

Using graph-tool in Colaboratory

Direct estimation of mean and covariance from single cell RNA seq experiments

R inside Python

🚀 Efficient implementations of state-of-the-art linear attention models

CompleX Group Interactions (XGI) is a Python package for higher-order networks.

Fast, flexible and easy to use probabilistic modelling in Python.

Co-accessibility network from single-cell ATAC-seq data. Python code with AnnData, based on Cicero algorithm.

Tool for plotting sequencing data along genomic coordinates.

Implementation for MatMul-free LM.

STUMPY is a powerful and scalable Python library for modern time series analysis

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

Kolmogorov Arnold Networks

HGX is a multi-purpose, open-source Python library for higher-order network analysis

Formalizing and benchmarking open problems in single-cell genomics

🔬 Path to a free self-taught education in Bioinformatics!

Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome

Efficient genotyping bi-allelic SNPs on single cells