Alternatives and similar repositories for socialdataanalysis2019

Users that are interested in socialdataanalysis2019 are comparing it to the libraries listed below

• suneman / socialdataanalysis2020
  ☆17Updated 5 years ago
• suneman / socialgraphs2019
  The repo for the class 02805 at DTU, 2019 edition
  ☆15Updated 5 years ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆125Updated last week
• jim-berend / semanticlens
  ☆13Updated last month
• nickruggeri / CLAP-interpretable-predictions
  Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".
  ☆14Updated 3 years ago
• alexandrainst / alexandra-ml-template
  Template for Python-based data science projects in the Alexandra Institute.
  ☆11Updated last week
• Califrais / flash
  A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
  ☆11Updated 9 months ago
• CoCaLa / causality-tutorial-exercises
  ☆48Updated last year
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆32Updated 6 months ago
• lajello / tendimensions
  NLP tool to extract dimensions of social exchange from textual conversations
  ☆11Updated last year
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 5 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆97Updated last week
• epfl-ml4ed / mlbd-2021
  Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2021.
  ☆8Updated 4 years ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆80Updated 9 months ago
• lkopf / cosy
  [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.
  ☆16Updated last week
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• yy / project-template
  A template for research repositories
  ☆22Updated 2 months ago
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆129Updated last year
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• joefarrington / mdpax
  GPU-accelerated MDP solvers in Python with JAX
  ☆16Updated 2 months ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆120Updated last year
• davinhill / BivariateShapley
  Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy
  ☆20Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆103Updated this week
• edahelsinki / slisemap
  SLISEMAP: Combining supervised dimensionality reduction with local explanations
  ☆20Updated 2 months ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆187Updated 3 years ago
• mathurinm / example_package
  ☆13Updated 4 months ago
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆106Updated last week
• dplecko / CFA
  Causal Fairness Analysis
  ☆18Updated 2 months ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆19Updated 2 years ago
• omesner / knncmi
  This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables usin…
  ☆36Updated 3 years ago