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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
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
Python library for converting Python calculations into rendered latex.
A list of papers and datasets about point cloud analysis (processing)
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