Alternatives and similar repositories for spherecluster

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

• wmayner / pyemd
  Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
  ☆489Updated 2 years ago
• EthanRosenthal / spacecutter
  Ordinal regression models in PyTorch
  ☆148Updated 3 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆524Updated 2 weeks ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆556Updated 4 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆894Updated last year
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 5 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆683Updated this week
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆332Updated 2 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆205Updated 3 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 5 months ago
• fabianp / mord
  Ordinal regression algorithms
  ☆271Updated 2 years ago
• gregversteeg / NPEET
  Non-parametric Entropy Estimation Toolbox
  ☆422Updated 3 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,428Updated last year
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆236Updated last year
• garydoranjr / pyemd
  Accurate, efficient Earth Mover's Distance for Python (and MATLAB).
  ☆162Updated 6 years ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆185Updated 6 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 6 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆138Updated 6 years ago
• dit / dit
  Python package for information theory.
  ☆559Updated 6 months ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆406Updated 7 years ago
• BeenKim / MMD-critic
  ☆135Updated 6 years ago
• HazyResearch / hyperbolics
  Hyperbolic Embeddings
  ☆391Updated 2 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆175Updated 4 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated last year
• freelunchtheorem / Conditional_Density_Estimation
  Package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated 2 years ago
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆735Updated 3 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆328Updated 4 years ago
• Behrouz-Babaki / COP-Kmeans
  A Python implementation of COP-KMEANS algorithm
  ☆170Updated last year