Alternatives and similar repositories for HeartStepsV1

Users that are interested in HeartStepsV1 are comparing it to the libraries listed below

• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆50Updated 3 years ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆276Updated last year
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆11Updated last year
• csquires / causal-rep-learning-reading-group
  ☆22Updated 2 years ago
• csquires / 6.S091-causality
  ☆194Updated 2 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆86Updated 4 years 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…
  ☆138Updated 2 years ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆191Updated 4 years ago
• eberharf / fges-py
  ☆19Updated 6 years ago
• vdblm / CausalPFN
  CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
  ☆87Updated last month
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆344Updated last year
• CausalDisco / gadjid
  Adjustment Identification Distance: A gadjid for Causal Structure Learning
  ☆13Updated 3 months ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆415Updated 5 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆354Updated 5 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆81Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆482Updated 2 years ago
• CoCaLa / causality-tutorial-exercises
  ☆50Updated last year
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆14Updated last year
• blei-lab / deconfounder_public
  ☆23Updated 3 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆749Updated 3 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆16Updated 5 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆319Updated 3 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆161Updated 4 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆104Updated 9 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆154Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆251Updated last year
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆50Updated 3 years ago