Alternatives and similar repositories for koolmogorov

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

• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 4 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆102Updated 6 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• ffx-org / ffx
  Fast Function Extraction
  ☆85Updated 3 months ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆149Updated last year
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 4 months ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• fastcluster / fastcluster
  Fast hierarchical clustering routines for R and Python.
  ☆154Updated 2 weeks ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆63Updated 7 years ago
• gregversteeg / bio_corex
  A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overla…
  ☆142Updated 4 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated 2 years ago
• mirkoklukas / tda-mapper-py
  A straightforward implementation of the mapper construction by Carlsson-Memoli-Singh. I wrote a little blog post about it at http://blog.…
  ☆15Updated 10 years ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 5 months ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• maxsklar / BayesPy
  Bayesian Inference Tools in Python
  ☆109Updated 2 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆38Updated 5 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 4 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 9 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 6 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year
• lmcinnes / hdbscan
  A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/
  ☆100Updated 7 years ago