Alternatives and similar repositories for psyke-python

Users that are interested in psyke-python are comparing it to the libraries listed below

• psykei / psyki-python
  PSyKI: a (Python) platform for symbolic knowledge injection
  ☆16Updated this week
• nliulab / ShapleyVIC
  ShapleyVIC: Shapley Variable Importance Cloud for Interpretable Machine Learning
  ☆20Updated last year
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆70Updated 4 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated 2 months ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆530Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated last week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 7 months ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆71Updated 3 years ago
• manitadayon / Auto_HMM
  Hidden Markov Model
  ☆35Updated last year
• HGX-Team / hypergraphx
  HGX is a multi-purpose, open-source Python library for higher-order network analysis
  ☆269Updated last month
• FatemehTarashi / awesome-tda
  A curated list of topological data analysis (TDA) resources and links.
  ☆202Updated 10 months ago
• GiulioRossetti / Python-Project-Template
  Minimal template for a Python library project
  ☆11Updated 2 years ago
• imoscovitz / wittgenstein
  Ruleset covering algorithms for transparent machine learning
  ☆108Updated 2 months ago
• fzi-forschungszentrum-informatik / TSInterpret
  An Open-Source Library for the interpretability of time series classifiers
  ☆137Updated 8 months ago
• mateoespinosa / remix
  Rule Extraction Methods for Interactive eXplainability
  ☆47Updated 3 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆265Updated 2 weeks ago
• xgi-org / xgi
  CompleX Group Interactions (XGI) is a Python package for higher-order networks.
  ☆218Updated last week
• jkbren / einet
  Uncertainty and causal emergence in complex networks
  ☆118Updated 3 years ago
• lasso-net / lassonet
  Feature selection in neural networks
  ☆240Updated 10 months ago
• panagiotisanagnostou / HiPart
  Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
  ☆51Updated last month
• merylldindin / topologyx
  Topological Data Analysis Routines
  ☆147Updated this week
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• stephenhky / MoguTDA
  Topological Data Analysis in Python: Simplicial Complex
  ☆123Updated last week
• ZacKeskin / PyCausality
  Calculate predictive causality between time series using information-theoretic techniques
  ☆100Updated 4 years ago
• rehmanzafar / dlime_experiments
  In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results o…
  ☆28Updated 2 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆266Updated 3 months ago
• steveazzolin / gdl_tutorial_turinginst
  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
  ☆58Updated last year
• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆31Updated 2 weeks ago
• sherbold / autorank
  ☆81Updated last month