Alternatives and similar repositories for mutar

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

• neurodata / uncertainty-forest
  Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325
  ☆12Updated 4 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆49Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• sylvchev / mdla
  Multivariate Dictionary Learning Algorithm
  ☆24Updated last year
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• rtavenar / SparseGroupLasso
  ☆39Updated 6 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• IIT-LAND / reval_clustering
  ☆29Updated 3 years ago
• bee-hive / MedGP
  A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.
  ☆29Updated 7 years ago
• sweichwald / coroICA-python
  ☆10Updated 4 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆99Updated last year
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆59Updated last year
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated 2 years ago
• albertcthomas / anomaly_tuning
  Learning hyperparameters for unsupervised anomaly detection
  ☆38Updated 5 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆110Updated last week
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 4 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆35Updated 3 years ago
• benfulcher / TimeSeriesGeneration
  Generating time series from a range of dynamical systems
  ☆17Updated 3 years ago
• tmiasko / pyjags
  PyJAGS: The Python Interface to JAGS
  ☆12Updated 5 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• neurodata / df-dn-paper
  Conceptual & empirical comparisons between decision forests & deep networks
  ☆18Updated last month
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 5 years ago
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated 2 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago