Reverse Dependencies of POT

The following projects have a declared dependency on POT:

• abcpy — A framework for approximate Bayesian computation (ABC) that speeds up inference by parallelizing computation on single computers or whole clusters.
• aif360 — IBM AI Fairness 360
• arbitragelab — ArbitrageLab is a collection of algorithms from the best academic journals and graduate-level textbooks, which focuses on the branch of statistical arbitrage known as pairs trading. We have extended the implementations to include the latest methods that trade a portfolio of n-assets (mean-reverting portfolios).
• autoanno — Investigation into using AutoML and Topological Data Analysis for Automated Annotation
• commot — Cell-cell communications inference for spatial transcriptomics data via optimal transport.
• condo — Library to perform confounded domain adaptation.
• da — Pytorch domain adaptation package
• datacondabc — Bayesian inference for SDE models using ABC-SMC
• deepof — no summary
• DiffusionEMD — Diffusion based earth mover's distance.
• downstream-fairness — A new post-processing fairness algorithm that operates on the output probabilities of a binary classifier
• EnergyFlow — Python package for the Energy Flow suite of particle physics tools
• etrc — PyTorch Enumerations
• eventIsotropy — a robust measure of event isotropy at colliders
• ex2mcmc — Local-Global MCMC kernels: the bost of both worlds (NeurIPS 2022)
• faim — FAIM (FAir Interpolation Method), described in "Beyond Incompatibility: Interpolation between Mutually
• fugw — A collection of gpu-compatible solvers for fused unbalanced gromov-wasserstein optimization problems
• gemclus — A package for performing discriminative clustering with gemini-trained models
• gene-trajectory — Compute gene trajectories
• genepy3d — Python Library for 3D Quantitative Geometry in Computation Microscopy
• genomap — Genomap converts tabular gene expression data into spatially meaningful images.
• geometric-clustering — no summary
• GraphRicciCurvature — Compute discrete Ricci curvatures and Ricci flow on NetworkX graphs.
• grrph — grrph -- Pascals Python Graph Library
• GTST — A package for comparing two samples of graphs
• heatgeo — Heat geodesic embeddings
• imspire — ImSpiRE is a python script (python 3.8+) for spatial resolution enhancenment by solving the entropic regularized fused Gromov-Wasserstein transport (FGW) problem for in situ capturing (ISC) spatial transcriptome.
• inFairness — inFairness is a Python package to train and audit individually fair PyTorch models
• luna-nlg — Source code for the LUNA project
• maccabee — Causal ML benchmarking and development tools
• matchclot — Installable matchclot package.
• mucstpy — The initial package of MuCST
• MultiscaleEMD — Multiscale approximations to the earth mover's distance.
• novosparc — De novo spatial reconstruction of single-cell gene expression.
• optiflow — Reconstruction of flows from kymographs with optimal transport
• orbithunter — Framework for Nonlinear Dynamics and Chaos
• otscomics — Distances between cells for single-cell omics with optimal transport
• particledist — Automate the search for new particles in event mass distributions
• paste2 — Probabilistic Alignment of Spatial Transcriptomics Experiments v.2
• phippery — Tools for analyzing PhIP-Seq Data.
• pyabc — Distributed, likelihood-free ABC-SMC inference
• quantecon_book_networks — Companion package for book-networks
• rtd-ae — no summary
• SBCK — Statistical Bias Correction Kit
• scButterfly — A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
• scconfluence — scConfluence is a novel diagonal integration method combining uncoupled autoencoders and Optimal Transport on single-cell data.
• scegot — single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
• scpram — scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
• scStateDynamics — A package to decipher the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes
• segar — no summary
• spann — no summary
• spateo-release — Spateo: multidimensional spatiotemporal modeling of single-cell spatial transcriptomics
• spaTrack — an algorithm that combine both gene expression and spot location to inference cell trajectory
• STACCI — STACCI for STCase
• STMiner — Python package for spatial transcriptomics data analysis
• stridespatial — STRIDE (Spatial TRanscrIptomics DEconvolution by topic modelling) is a cell-type deconvolution tool for spatial transcriptomics.
• teaspoon — A Topological Signal Processing Package
• torch-topological — A framework for topological machine learning based on `pytorch`.
• torchcfm — Conditional Flow Matching for Fast Continuous Normalizing Flow Training.
• TrajectoryNet — A neural ode solution for imputing trajectories between pointclouds.
• transmorph — A unifying data integration framework.
• transport-dependency — A package to compute optimal transport based dependency measures such as the transport correlation
• uotod — Unbalanced Optimal Transport for Object Detection
• VeloVGI — Graph Variational Autoencoder for scRNA-seq velocity
• VLOT — An efficient token vocabulary construction method
• votekit — A Swiss Army Knife for computational social choice research
• vqr — Vector Quantile Regression
• Wasserstein — Python package wrapping C++ code for computing Wasserstein distances
• wot — Optimal transport for time-course single cell data
• wsingular — Wasserstein Singular Vectors
• wtk — A Wasserstein Subsequence Kernel for Time Series
• wwl — Wasserstein Weisfeiler-Lehman Graph Kernels
• zensols.spanmatch — An API to match spans of semantically similar text across documents.