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)
  ☆57Updated 7 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆273Updated last year
• eberharf / fges-py
  ☆19Updated 5 years ago
• csquires / 6.S091-causality
  ☆194Updated 2 years ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆354Updated 5 years ago
• vdblm / CausalPFN
  CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
  ☆84Updated 2 weeks ago
• 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…
  ☆340Updated last year
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆14Updated 10 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆85Updated 4 years 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
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆137Updated last year
• csquires / causal-rep-learning-reading-group
  ☆22Updated 2 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆161Updated 4 years ago
• CausalDisco / gadjid
  Adjustment Identification Distance: A gadjid for Causal Structure Learning
  ☆13Updated 2 months ago
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆192Updated 3 years ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆174Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆744Updated 3 years ago
• dplecko / CFA
  Causal Fairness Analysis
  ☆20Updated 8 months ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆153Updated last year
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆66Updated last year
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 years ago
• altdeep / causalAI
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
  ☆786Updated 3 weeks ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆101Updated 8 months ago
• CoCaLa / causality-tutorial-exercises
  ☆50Updated last year
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 4 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆50Updated 6 years ago
• finnhacks42 / causal_bandits
  ☆17Updated 9 years ago