TorchCFM: a Conditional Flow Matching library

modified version of CNORode including: steady state penalty, L1 regularisation, bootstrap, new transfer function

Efficiently computes derivatives of NumPy code.

Near-optimal RNA-Seq quantification

Ultra-fast 5' and 3' demultiplexer

Fast and accurate sequence demultiplexing

flexible barcode and adapter removal

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

Arc Virtual Cell Atlas

Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.

A small package to create visualizations of PyTorch execution graphs

Analysis code for Why do pathway methods work better than they should?

Implementation of variational Bayes inference algorithms

Reference MATLAB implementation of foundational analyses for Cancer Therapeutics Response Portal (CTRP; http://portals.broadinstitute.org/ctrp)

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

Scalable sequence-informed embedding of single-cell ATAC-seq data with CellSpace

CudaMat enables fast computing on graphics cards that supports the CUDA programming language. Currently such cards are available from NVidia. CudaMat is, as much as possible, invisible to the user.…

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

Signal based nanopore RNA demultiplexing with convolutional neural networks

From differential gene expression to metabolic changes

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