Alternatives and similar repositories for resources

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

• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆59Updated 5 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆30Updated 2 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 4 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆30Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆32Updated 4 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• bradyneal / causal-book-code
  ☆79Updated 4 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆61Updated last week
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆104Updated 5 years ago
• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated 2 years ago
• cicl-stanford / csm
  Contains all materials for the paper "A counterfactual simulation model of causal judgment".
  ☆24Updated 4 years ago
• aangelopoulos / rcps
  Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
  ☆85Updated last year
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆20Updated 3 years ago
• acmi-lab / papers-worth-reading
  A Curated Set of Papers Actually Worth Reading
  ☆26Updated 3 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆58Updated 2 months ago
• XanderJC / medkit-learn
  The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…
  ☆29Updated 3 years ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆77Updated last year
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆33Updated 4 years ago
• SagiLevanon1 / scmp
  ☆10Updated 4 years ago
• robertness / causalvae
  ☆18Updated 5 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆30Updated 4 years ago