Alternatives and similar repositories for scikit-multimodallearn

Users that are interested in scikit-multimodallearn are comparing it to the libraries listed below

• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆13Updated 2 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆32Updated 4 years ago
• a-lucic / focus
  ☆16Updated 3 years ago
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 4 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• QueensGambit / PGM-Causal-Reasoning
  Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship
  ☆9Updated 6 years ago
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 5 years ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 5 months ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆61Updated 5 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated 2 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• scikit-learn-contrib / mimic
  mimic calibration
  ☆21Updated 5 years ago
• stanfordmlgroup / risk-adjustment-ml
  Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.
  ☆12Updated 5 years ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• uhlerlab / conditional_independence
  Parametric and non-parametric conditional independence testing.
  ☆10Updated 4 years ago
• Yu-Group / imodels-experiments
  Experiments with experimental rule-based models to go along with imodels.
  ☆16Updated 3 weeks ago