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A collection of Poisson lognormal models for multivariate count data analysis
High-performance automatic differentiation of LLVM and MLIR.
A Python framework for high performance GPU simulation and graphics
Technology-invariant pipeline for spatial omics analysis (Xenium / MERSCOPE / CosMx / PhenoCycler / MACSima / Hyperion) that scales to millions of cells
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
A plugin dveloped for ChesireCat AI to detect complex math formulas from any image and reproduce them in Latex syntax
Statistical Rethinking: A Bayesian Course Using Python and NumPyro
Efficient genotyping bi-allelic SNPs on single cells
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Tensor parallelism is all you need. Run LLMs on weak devices or make powerful devices even more powerful by distributing the workload and dividing the RAM usage.
Powerful Blockchain streaming data engine, based on StreamingFast Firehose technology.
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
bedtools - the swiss army knife for genome arithmetic
Scalable Nucleotide Alignment Program -- a fast and accurate read aligner for high-throughput sequencing data
Blazing fast nuclei segmentation for brightfield Whole Slide Images
a programming library with geometric algorithms
DNA foundation modeling from molecular to genome scale
Long read production pipelines
A branching process model of evolutionary rescue
Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
Newton and Quasi-Newton optimization with PyTorch
CellRank: dynamics from multi-view single-cell data