jasonlaska / sphereclusterLinks
Clustering routines for the unit sphere
☆349Updated last year
Alternatives and similar repositories for spherecluster
Users that are interested in spherecluster are comparing it to the libraries listed below
Sorting:
- Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric☆491Updated 2 years ago
- apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…☆512Updated 2 months ago
- Ordinal regression models in PyTorch☆147Updated 3 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆398Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Python package for information theory.☆548Updated 3 months ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 2 months ago
- megaman: Manifold Learning for Millions of Points☆328Updated 2 years ago
- Bayesian nonparametric machine learning for Python☆227Updated 2 years ago
- Accurate, efficient Earth Mover's Distance for Python (and MATLAB).☆161Updated 6 years ago
- A Python nearest neighbor descent for approximate nearest neighbors☆941Updated 9 months ago
- Distance Metric Learning Algorithms for Python☆173Updated 4 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- Tuning hyperparams fast with Hyperband☆594Updated 7 years ago
- A Python implementation of COP-KMEANS algorithm☆170Updated 10 months ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆338Updated 4 years ago
- Non-parametric Entropy Estimation Toolbox☆412Updated 2 years ago
- Nimfa: Nonnegative matrix factorization in Python☆551Updated 4 years ago
- Python library for multilinear algebra and tensor factorizations☆407Updated 6 years ago
- Python implementation of Robust Continuous Clustering☆106Updated 6 years ago
- Python library for working with kernel methods in machine learning☆121Updated 6 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆238Updated 8 years ago
- General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.☆157Updated 7 months ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Render probabilistic graphical models using matplotlib☆679Updated this week
- Ordinal regression algorithms☆268Updated 2 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆233Updated 6 years ago
- A scikit-learn based module for multi-label et. al. classification☆943Updated last year
- TriMap: Large-scale Dimensionality Reduction Using Triplets☆318Updated 3 weeks ago