Alternatives and similar repositories for Entropic-Causality

Users that are interested in Entropic-Causality are comparing it to the libraries listed below

• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆49Updated last year
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆30Updated 5 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆21Updated 4 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
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 5 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 4 years ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆30Updated 4 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• alexhallam / TensorFlow-Survival-Analysis
  Making survival analysis work in TensorFlow
  ☆19Updated 8 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆30Updated 2 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• evidation-opensource / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆24Updated 2 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 4 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆17Updated 2 years ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated last year
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆40Updated last year
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆64Updated 7 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago