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BIPS

Leibniz Institute for Prevention Research and Epidemiology

Popular repositories

  1. neuralnet neuralnet Public

    Training of Neural Networks

    R 30 12

  2. innsight innsight Public

    Interpretability methods to analyze the behavior and individual predictions of modern neural networks in R.

    R 26 3

  3. pvm pvm Public

    A collection of signal detection methods used in the field of pharmacovigilance

    R 24 7

  4. arfpy arfpy Public

    Python implementation of adversarial random forests for density estimation and generative modelling

    Jupyter Notebook 20 1

  5. cpi cpi Public

    CPI: Conditional Predictive Impact

    R 11 7

  6. arf arf Public

    Adversarial Random Forests

    R 10 2

Repositories

Showing 10 of 56 repositories
  • arf Public

    Adversarial Random Forests

    R 10 GPL-3.0 2 0 5 Updated May 3, 2024
  • acceleep Public

    Code for the master thesis re: Accelerometry-Based Prediction of Energy Expenditure […]

    R 0 0 0 0 Updated Apr 25, 2024
  • countARFactuals Public

    This repository contains the code for the countARFactuals paper.

    R 1 0 0 0 Updated Apr 12, 2024
  • IMLSA_2024 Public

    This repository contains code accompanying the paper "Interpretable Machine Learning for Survival Analysis"

    R 0 0 0 0 Updated Apr 10, 2024
  • wflsa Public

    Weighted Fused Lasso Signal Approximator (wFLSA)

    R 0 0 0 0 Updated Apr 10, 2024
  • simtracker Public

    An R package designed for tracking and management of simulation studies for both the BIPS workstation and local machines

    R 0 0 0 0 Updated Mar 28, 2024
  • Toward_Understanding_Disagreement_Problem Public
    R 0 0 0 0 Updated Mar 18, 2024
  • arfpy Public

    Python implementation of adversarial random forests for density estimation and generative modelling

    Jupyter Notebook 20 MIT 1 0 0 Updated Mar 13, 2024
  • ccg-childhood-obesity Public

    Analysis code

    HTML 0 GPL-3.0 0 0 0 Updated Mar 13, 2024
  • CVN Public

    Covariate-varying Networks

    R 0 1 0 1 Updated Mar 6, 2024
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