Latent optimal transport (LOT) for low rank transport and clustering

Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics

Continuous normalizing flow for lattice quantum field theory

Incompressible Cell Shapes via Optimal Transport

Matplotlib Jupyter Integration

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Generative Flow Networks - GFlowNet

Interactive Markov-chain Monte Carlo Javascript demos

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

pyclustering is a Python, C++ data mining library.

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A set of files to do genomics analysis on python

Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport

Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe

CPM implementation in pure JavaScript

Python library for converting Python calculations into rendered latex.

A list of papers and datasets about point cloud analysis (processing)

Easily generate random fields

Generator of 2D gaussian random fields

tsl: a PyTorch library for processing spatiotemporal data.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Deep probabilistic analysis of single-cell and spatial omics data

Quantifying spatial information in spatial transcriptomics

Probabilistic Alignment of Spatial Transcriptomics Experiments

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

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods