lmcinnes / hdbscan_paper

Related projects: ⓘ

• amueller / information-theoretic-mst
  Information Theoretic Clustering using Minimum Spanning Trees
  ☆19Updated 6 years ago
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆43Updated 2 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆64Updated 5 years ago
• mutualinfo / mutual_info
  Putting GaelVaroquaux's mutual_info gist in a project until it has a better home.
  ☆30Updated 3 months ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated last year
• wOOL / STSC
  Self-Tuning Spectral Clustering Python
  ☆34Updated 6 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• gagolews / clustering-benchmarks
  A framework for benchmarking clustering algorithms
  ☆35Updated 3 weeks ago
• FlorentF9 / skstab
  Clustering stability analysis in Python with a scikit-learn compatible API.
  ☆20Updated last year
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 8 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆35Updated 3 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆19Updated 4 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆46Updated 3 months ago
• franrole / cclust_package
  ☆30Updated 3 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆42Updated 3 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆10Updated 4 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆58Updated 7 years ago
• jakevdp / mst_clustering
  Scikit-learn style estimator for Minimum Spanning Tree Clustering in Python
  ☆85Updated 8 years ago
• metterlein / spectral_clustering
  ☆18Updated 6 years ago
• iesl / grinch
  Scalable Hierarchical Clustering with Tree Grafting
  ☆27Updated 2 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆13Updated 8 years ago
• mmortazavi / UMAP_Nonlinear-Dimensionality-Reduction_Benchmark
  A primer to Uniform Manifold Approximation and Projection (UMAP)
  ☆15Updated 6 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 3 years ago
• passalis / sef
  A Python Library for Similarity-based Dimensionality Reduction
  ☆28Updated 5 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆97Updated 4 months ago
• VincentRouvreau / GUDHI_presentation-NIPS_2017
  PDF and notebooks of GUDHI presentation @ NIPS 2017
  ☆14Updated 6 years ago