Alternatives and similar repositories for fugw

Users that are interested in fugw are comparing it to the libraries listed below

• trneedham / QuantizedGromovWasserstein
  Scalable framework for comparing metric measure spaces with up to 1M points.
  ☆15Updated 4 years ago
• nerdslab / PyHiWA
  Alignment between clustered datasets via hierarchical Wasserstein distance
  ☆38Updated 2 years ago
• KrishnaswamyLab / TPHATE
  ☆34Updated 3 weeks ago
• sompolinsky-lab / dnn-object-manifolds
  ☆52Updated 4 years ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆216Updated last year
• Dynamics-of-Neural-Systems-Lab / RVGP
  A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…
  ☆24Updated last year
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆50Updated last year
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• sylvchev / beetl-competition
  Code helper for BEETL competition
  ☆12Updated 4 years ago
• neurodata / lollipop
  Linear Optimal Low Rank Projection
  ☆18Updated 6 years ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆145Updated this week
• alawryaguila / multi-view-AE
  Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
  ☆54Updated last year
• kuffmode / msa
  Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).
  ☆19Updated 4 months ago
• oizumi-lab / GWTune
  ☆22Updated 9 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated 2 years ago
• mind-inria / hidimstat
  HiDimStat: High-dimensional statistical inference tool for Python
  ☆27Updated this week
• neurostatslab / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆176Updated last year
• DurstewitzLab / dendPLRNN
  ☆22Updated last year
• AlGoulas / bio2art
  Convert biological neuronal networks to artificial recurrent neuronal networks
  ☆21Updated 3 years ago
• ja-che / hidimstat
  HiDimStat: High-dimensional statistical inference tool for Python
  ☆22Updated last year
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆141Updated last year
• kisungyou / papers
  resources related to papers
  ☆13Updated last week
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆94Updated 2 months ago
• braindynamicslab / dyneusr
  Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
  ☆51Updated 2 weeks ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆71Updated last year
• qbarthelemy / PyPermut
  Python package for permutation tests, for statistics and machine learning.
  ☆26Updated 7 months ago
• LindenParkesLab / nctpy
  A toolbox for implementing Network Control Theory analyses in python
  ☆66Updated last year
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆152Updated 3 years ago