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    62 repositories

    • realhumaneval

      Public
      Jupyter Notebook
      •
      Creative Commons Zero v1.0 Universal
      •3•16•0•0•Updated Nov 5, 2024Nov 5, 2024

    • t2dm_provider_variation_analysis

      Public
      Python
      •0•0•0•0•Updated Sep 14, 2024Sep 14, 2024

    • sc-foundation-eval

      Public
      Code for evaluating single cell foundation models scBERT and scGPT
      Jupyter Notebook
      •
      BSD 3-Clause "New" or "Revised" License
      •5•30•2•0•Updated Aug 25, 2024Aug 25, 2024

    • large-scale-temporal-shift-study

      Public
      Code for Large-Scale Study of Temporal Shift in Health Insurance Claims. Christina X Ji, Ahmed M Alaa, David Sontag. CHIL, 2023. https://arxiv.org/abs/2305.05087
      Python
      •0•4•6•0•Updated Aug 14, 2024Aug 14, 2024

    • seq_to_final_benchmark

      Public
      Code for Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point. Christina X Ji, Ahmed M Alaa, David Sontag. https://arxiv.org/abs/2407.09642
      Python
      •0•0•0•0•Updated Jul 9, 2024Jul 9, 2024

    • finding-decision-heterogeneity-regions

      Public
      Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021 https://arxiv.org/abs/2110.14508
      Jupyter Notebook
      •1•3•0•0•Updated Jun 18, 2024Jun 18, 2024

    • clinicalml-scBERT-NMI

      Public
      analysis code to reproduce results in NMI submission
      Jupyter Notebook
      •
      BSD 3-Clause "New" or "Revised" License
      •1•2•0•0•Updated Jun 1, 2024Jun 1, 2024

    • co-llm

      Public
      Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
      Python
      •7•103•0•0•Updated May 7, 2024May 7, 2024

    • onboarding_human_ai

      Public
      Onboarding Humans to work with AI: Algorithms to find regions and describe them in natural language that show how humans should collaborate with AI (NeurIPS23)
      aierrordescriptionregionauditing-datallm
      Jupyter Notebook
      •3•11•0•0•Updated Mar 15, 2024Mar 15, 2024

    • SCOPE

      Public
      Codebase for SCOPE architecture.
      Python
      •2•1•0•0•Updated Feb 7, 2024Feb 7, 2024

    • human_ai_deferral

      Public
      Human-AI Deferral Evaluation Benchmark (Learning to Defer) AISTATS23
      Python
      •1•19•1•0•Updated Jan 8, 2024Jan 8, 2024

    • teaching-to-understand-ai

      Public
      Code and webpages for our study on teaching humans to defer to an AI
      Jupyter Notebook
      •0•11•0•0•Updated Nov 6, 2023Nov 6, 2023

    • TabLLM

      Public
      Python
      •
      MIT License
      •45•275•15•0•Updated Nov 2, 2023Nov 2, 2023

    • omop-learn

      Public
      Python package for machine learning for healthcare using a OMOP common data model
      sarddeep-modelsomop-cdm-database
      Python
      •
      MIT License
      •26•104•1•0•Updated Jun 17, 2023Jun 17, 2023

    • censored-falsification

      Public
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated May 17, 2023May 17, 2023

    • rct-obs-falsification

      Public
      Code for paper, "Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions." This repo is currently under construction. Check back later for end-to-end notebooks recreating the results of our AISTATS 2023 paper.
      Jupyter Notebook
      •
      MIT License
      •1•2•0•0•Updated Apr 22, 2023Apr 22, 2023

    • vae_ssl

      Public
      Scalable semi-supervised learning with deep variational autoencoders
      Jupyter Notebook
      •
      MIT License
      •2•9•0•2•Updated Feb 10, 2023Feb 10, 2023

    • active_learn_to_defer

      Public
      Code for Sample Efficient Learning of Predictors that Complement Humans (ICML 2022)
      Python
      •2•5•0•0•Updated Jan 28, 2023Jan 28, 2023

    • learn-to-defer

      Public
      Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)
      Jupyter Notebook
      •
      MIT License
      •6•11•0•15•Updated Jan 28, 2023Jan 28, 2023

    • cfrnet

      Public
      Counterfactual Regression
      Python
      •
      MIT License
      •82•297•3•0•Updated Dec 7, 2022Dec 7, 2022

    • ief

      Public
      Train pharmacodynamic deep generative models to model disease progression
      Jupyter Notebook
      •
      MIT License
      •1•6•0•0•Updated Dec 2, 2022Dec 2, 2022

    • ml_mmrf

      Public
      Machine Learning with data from the Multiple Myeloma Research Foundation
      Jupyter Notebook
      •
      MIT License
      •0•8•2•0•Updated Dec 2, 2022Dec 2, 2022

    • rct-obs-extrapolation

      Public
      Code for paper, "Falsification before Extrapolation in Causal Effect Estimation"
      Jupyter Notebook
      •
      MIT License
      •2•2•0•0•Updated Sep 27, 2022Sep 27, 2022

    • cotrain-prompting

      Public
      Code for co-training large language models (e.g. T0) with smaller ones (e.g. BERT) to boost few-shot performance
      Python
      •
      MIT License
      •3•17•0•0•Updated Sep 23, 2022Sep 23, 2022

    • parametric-robustness-evaluation

      Public
      Code for paper "Evaluating Robustness to Dataset Shift via Parametric Robustness Sets"
      Python
      •
      MIT License
      •4•7•0•0•Updated Jul 6, 2022Jul 6, 2022

    • wilds

      Public
      A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
      Python
      •
      MIT License
      •128•0•0•0•Updated Apr 4, 2022Apr 4, 2022

    • prancer

      Public
      Platform enabling Rapid Annotation for Clinical Entity Recognition
      JavaScript
      •
      MIT License
      •12•50•1•8•Updated Mar 29, 2022Mar 29, 2022

    • proxy-anchor-regression

      Public
      Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)
      causalitydistributional-robustness
      Jupyter Notebook
      •2•11•0•0•Updated Mar 14, 2022Mar 14, 2022

    • omop-variation

      Public
      Tools to identify and evaluate heterogeneity in decision-making processes.
      Python
      •
      MIT License
      •1•2•0•0•Updated Feb 12, 2022Feb 12, 2022

    • ContextualAutocomplete_MLHC2020

      Public
      Code for Contextual Autocomplete paper published in MLHC2020
      Jupyter Notebook
      •2•13•0•0•Updated Aug 7, 2021Aug 7, 2021