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    40 repositories

    • treeffuser

      Public
      Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.
      tabular-datapredictionlightgbm
      tabular-datapredictionlightgbmtreesprobabilistic-modelsgradient-boostingheteroscedasticitydiffusion-modelsdiffusionsprobabilistic-prediction
      Jupyter Notebook
      •
      MIT License
      •9•55•2•5•Updated Feb 16, 2026Feb 16, 2026

    • TwinEB

      Public
      Repository for the TwinEB Matrix Factorization project.
      Python
      •0•0•0•0•Updated Dec 22, 2024Dec 22, 2024

    • phr

      Public
      Jupyter Notebook
      •
      MIT License
      •1•1•0•0•Updated Nov 1, 2024Nov 1, 2024

    • circuitry

      Public
      Python
      •
      MIT License
      •1•14•1•0•Updated Oct 30, 2024Oct 30, 2024

    • treeffuser-private-dev

      Public
      Development branch of Treeffuser.
      Jupyter Notebook
      •
      MIT License
      •9•1•0•0•Updated Jun 16, 2024Jun 16, 2024

    • edward

      Public
      A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
      data-sciencemachine-learningstatistics
      data-sciencemachine-learningstatisticsdeep-learningtensorflowbayesian-methodsneural-networksprobabilistic-programming
      Jupyter Notebook
      •
      Other
      •745•4.8k•185•34•Updated Mar 18, 2024Mar 18, 2024

    • ml-field-experiments

      Public
      Jupyter Notebook
      •
      Apache License 2.0
      •1•0•0•0•Updated Mar 10, 2024Mar 10, 2024

    • synthetic_controls

      Public
      Python
      •
      MIT License
      •1•0•0•0•Updated Feb 28, 2024Feb 28, 2024

    • deconfounder_public

      Public
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •6•23•0•1•Updated Dec 19, 2022Dec 19, 2022

    • poisson-influence-factorization

      Public
      Jupyter Notebook
      •
      MIT License
      •1•4•0•0•Updated Jul 28, 2022Jul 28, 2022

    • class-slda

      Public
      Implements supervised topic models with a categorical response.
      C++
      •
      GNU General Public License v2.0
      •20•65•4•2•Updated Jan 14, 2022Jan 14, 2022

    • tmv

      Public
      topic model visualization
      Python
      •
      GNU General Public License v3.0
      •39•20•0•0•Updated Oct 12, 2021Oct 12, 2021

    • onlineldavb

      Public
      Online variational Bayes for latent Dirichlet allocation (LDA)
      Python
      •
      GNU General Public License v3.0
      •99•304•2•2•Updated May 21, 2021May 21, 2021

    • markovian-score-climbing

      Public
      Python
      •
      MIT License
      •0•8•0•0•Updated Oct 16, 2020Oct 16, 2020

    • causal-text-embeddings

      Public
      Software and data for "Using Text Embeddings for Causal Inference"
      Python
      •
      MIT License
      •17•125•3•0•Updated Sep 23, 2020Sep 23, 2020

    • deconfounder_tutorial

      Public
      Jupyter Notebook
      •
      MIT License
      •21•87•2•0•Updated Apr 3, 2020Apr 3, 2020

    • variational-smc

      Public
      Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
      Python
      •
      MIT License
      •14•67•0•0•Updated Apr 29, 2019Apr 29, 2019

    • deep-exponential-families

      Public
      Deep exponential families (DEFs)
      C++
      •10•55•0•0•Updated Feb 8, 2018Feb 8, 2018

    • dtm

      Public
      This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
      Shell
      •
      GNU General Public License v2.0
      •78•204•8•0•Updated Dec 12, 2017Dec 12, 2017

    • context-selection-embedding

      Public
      Context Selection for Embedding Models
      Python
      •11•26•0•0•Updated Nov 2, 2017Nov 2, 2017

    • zero-inflated-embedding

      Public
      Code for the icml paper "zero inflated exponential family embedding"
      Python
      •
      Other
      •13•29•0•0•Updated Nov 2, 2017Nov 2, 2017

    • factorial-network-models

      Public
      Discussion of Durante et al for JSM 2017. Includes factorial network model generalization.
      Jupyter Notebook
      •4•8•0•0•Updated Aug 14, 2017Aug 14, 2017

    • publications

      Public
      The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).
      TeX
      •11•71•0•0•Updated Apr 25, 2017Apr 25, 2017

    • ars-reparameterization

      Public
      Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
      Jupyter Notebook
      •
      MIT License
      •8•38•1•0•Updated Apr 25, 2017Apr 25, 2017

    • Riken_tutorial

      Public
      Jupyter Notebook
      •1•4•0•0•Updated Mar 8, 2017Mar 8, 2017

    • hdp

      Public
      Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
      C++
      •
      GNU General Public License v2.0
      •46•149•6•0•Updated Feb 21, 2017Feb 21, 2017

    • embvis

      Public
      Tool for visualizing and browsing over data point embeddings
      JavaScript
      •0•0•0•0•Updated Nov 8, 2016Nov 8, 2016

    • lda-c

      Public
      This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.
      C
      •
      GNU Lesser General Public License v2.1
      •92•167•5•0•Updated Jun 9, 2016Jun 9, 2016

    • DynamicPoissonFactorization

      Public
      Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time according to user-item ratings.
      C++
      •
      GNU General Public License v3.0
      •29•48•0•0•Updated Feb 22, 2016Feb 22, 2016

    • expo-mf

      Public
      Exposure Matrix Factorization: modeling user exposure in recommendation
      Jupyter Notebook
      •39•5•0•0•Updated Feb 15, 2016Feb 15, 2016
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