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    47 repositories

    • observational-crl

      Public
      Jupyter Notebook
      •0•1•0•0•Updated Oct 30, 2024Oct 30, 2024

    • sccvae

      Public
      Single-cell Causal VAE
      Python
      •0•1•0•0•Updated Oct 28, 2024Oct 28, 2024

    • porcelan

      Public
      Detecting lineage-related gene expression patterns
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Oct 11, 2024Oct 11, 2024

    • server_tutorial

      Public
      Code for using the GPU server
      Python
      •2•0•0•0•Updated Sep 9, 2024Sep 9, 2024

    • APOLLO

      Public
      Jupyter Notebook
      •0•2•0•0•Updated Sep 3, 2024Sep 3, 2024

    • PUPS

      Public
      Jupyter Notebook
      •
      Other
      •0•3•0•0•Updated Jul 19, 2024Jul 19, 2024

    • adhesome_clustering

      Public
      Jupyter Notebook
      •0•1•0•0•Updated Jul 12, 2024Jul 12, 2024

    • synthetic_lethality

      Public
      Jupyter Notebook
      •0•3•1•0•Updated Jun 18, 2024Jun 18, 2024

    • CCPG

      Public
      Jupyter Notebook
      •1•2•0•0•Updated Jun 10, 2024Jun 10, 2024

    • DCISprogression

      Public
      Jupyter Notebook
      •0•3•0•0•Updated May 22, 2024May 22, 2024

    • graphical_models

      Public
      Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.
      graphical-models
      HTML
      •
      Other
      •4•10•1•0•Updated Apr 22, 2024Apr 22, 2024

    • InfoCORE

      Public
      Code for paper: "Removing Biases from Molecular Representations via Information Maximization"
      Python
      •0•17•0•0•Updated Apr 4, 2024Apr 4, 2024

    • discrepancy_vae

      Public
      code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
      Jupyter Notebook
      •2•10•0•0•Updated Nov 27, 2023Nov 27, 2023

    • actlearn_optint

      Public
      Active learning for optimal intervention design in causal models
      Jupyter Notebook
      •
      MIT License
      •5•12•1•0•Updated Nov 8, 2023Nov 8, 2023

    • meek_sep

      Public
      Source code for paper: Meek Separators and Their Applications in Targeted Causal Discovery
      Jupyter Notebook
      •0•0•0•0•Updated Nov 7, 2023Nov 7, 2023

    • aging_transcriptome_and_chromatin

      Public
      HTML
      •0•1•0•0•Updated Nov 7, 2023Nov 7, 2023

    • image2reg

      Public
      Code for the paper "Image2Reg: Linking Chromatin Images to Gene Regulation using Genetic Perturbation Screens"
      Jupyter Notebook
      •1•4•0•0•Updated Oct 23, 2023Oct 23, 2023

    • kernel_tf

      Public
      Code for transfer learning with kernels
      Python
      •
      MIT License
      •0•2•0•0•Updated Aug 10, 2023Aug 10, 2023

    • STACI

      Public
      Jupyter Notebook
      •2•10•0•0•Updated Aug 9, 2023Aug 9, 2023

    • causal-imputation-synthetic-interventions

      Public
      Jupyter Notebook
      •3•0•0•0•Updated Jun 11, 2023Jun 11, 2023

    • causaldag

      Public
      Python package for the creation, manipulation, and learning of Causal DAGs
      inferencecausalitycausal-inferencecausal-modelscausal-dags
      JavaScript
      •
      Other
      •19•148•8•5•Updated Apr 12, 2023Apr 12, 2023

    • MTP2-finance

      Public
      MTP2 for covariance estimation in financial data
      MATLAB
      •3•2•0•1•Updated Dec 28, 2022Dec 28, 2022

    • cross-modal-autoencoders

      Public
      Python
      •
      MIT License
      •9•53•3•0•Updated Oct 29, 2022Oct 29, 2022

    • inf_depth_ntks

      Public
      Code for experiments using infinitely wide and deep classifiers
      Python
      •0•0•0•0•Updated Aug 2, 2022Aug 2, 2022

    • cma_phenotype_prediction

      Public
      Code for phenotype prediction from cross-modal autoencoder embeddings
      Python
      •
      MIT License
      •0•0•0•0•Updated Jul 25, 2022Jul 25, 2022

    • mol2image

      Public
      Python
      •1•7•4•0•Updated Jul 5, 2022Jul 5, 2022

    • graphical_model_learning

      Public
      Learning graphical models, with a focus on causal models and learning from interventional data.
      machine-learningstatisticsgraphical-modelscausalitycausal-inferencecausal-models
      HTML
      •
      Other
      •3•8•1•0•Updated Jun 14, 2022Jun 14, 2022

    • NTKEigenPro

      Public
      The NTK for a 1 hidden layer neural network trained using EigenPro
      Python
      •0•0•0•0•Updated May 11, 2022May 11, 2022

    • unbalanced_ot

      Public
      Python
      •1•1•0•0•Updated Mar 19, 2022Mar 19, 2022

    • ntk_matrix_completion

      Public
      Jupyter Notebook
      •3•14•0•1•Updated Jan 9, 2022Jan 9, 2022