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    • Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inference
      Jupyter Notebook
      MIT License
      1100Updated Dec 20, 2024Dec 20, 2024
    • Jupyter notebooks for the Data Literacy Lecture 2024/2025
      Jupyter Notebook
      MIT License
      0100Updated Dec 19, 2024Dec 19, 2024
    • LDNS

      Public
      Jupyter Notebook
      MIT License
      1300Updated Dec 11, 2024Dec 11, 2024
    • A sequential variant of the "Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation" algorithm @swag2198
      Jupyter Notebook
      MIT License
      3100Updated Nov 27, 2024Nov 27, 2024
    • Main Figure code and data accompanying paper
      MATLAB
      0000Updated Nov 26, 2024Nov 26, 2024
    • Repository to reproduce results of `Differentiable simulation enables large-scale training of biophysical models of neural dynamics`.
      Jupyter Notebook
      MIT License
      1110Updated Nov 25, 2024Nov 25, 2024
    • automind

      Public
      Automated Model Inference from Neural Dynamics
      Jupyter Notebook
      Apache License 2.0
      1500Updated Nov 22, 2024Nov 22, 2024
    • smc_rnns

      Public
      Code accompanying Inferring stochastic low-rank RNNs from neural data. @Matthijspals
      Jupyter Notebook
      Apache License 2.0
      21300Updated Nov 8, 2024Nov 8, 2024
    • markovsbi

      Public
      Public repository for paper: Compositional simulation-based inference for time series.
      0200Updated Oct 28, 2024Oct 28, 2024
    • Code for Liebe et al. "Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks", code by Matthijs Pals (@Matthijspals)
      Jupyter Notebook
      MIT License
      1300Updated Oct 7, 2024Oct 7, 2024
    • epiphyte

      Public
      Python toolkit for working with high-dimensional neural data recorded during naturalistic, continuous stimuli @a-darcher @rachrapp
      Jupyter Notebook
      GNU General Public License v3.0
      1800Updated Sep 13, 2024Sep 13, 2024
    • This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".
      Python
      MIT License
      66710Updated Aug 30, 2024Aug 30, 2024
    • sourcerer

      Public
      Code for the preprint "Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation"
      Python
      MIT License
      3100Updated Aug 28, 2024Aug 28, 2024
    • .github

      Public
      Repo for mackelab github landing page, maintained by @michaeldeistler
      0000Updated Aug 20, 2024Aug 20, 2024
    • sbi-ves

      Public
      Simulation-Based Inference of Soil Resistivitiy from Vertical Electrical Sounding combined with a Web Application for web-based inversion
      Jupyter Notebook
      1000Updated Aug 6, 2024Aug 6, 2024
    • Repository for the paper "Simultaneous identification of models and parameters of scientific simulators" -- Cornelius: @coschroeder
      Jupyter Notebook
      MIT License
      0100Updated Jul 18, 2024Jul 18, 2024
    • Gaussian process method for inferring cortical maps (Python version), code by Dominik Straub @dominikstrb
      Python
      GNU General Public License v3.0
      2201Updated Jun 17, 2024Jun 17, 2024
    • simformer

      Public
      Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
      Jupyter Notebook
      MIT License
      45110Updated Jun 17, 2024Jun 17, 2024
    • sbi-ice

      Public
      Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
      Python
      GNU Affero General Public License v3.0
      0130Updated Jun 10, 2024Jun 10, 2024
    • Labproject about comparing distributions metrics by @mackelab
      Python
      MIT License
      13130Updated Jun 6, 2024Jun 6, 2024
    • Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers
      Python
      GNU Affero General Public License v3.0
      0000Updated Jun 3, 2024Jun 3, 2024
    • Code for "Trained recurrent neural networks develop phase-locked limit cycles in a working memory task" - Matthijs Pals (@Matthijspals) , Jakob Macke and Omri Barak.
      Python
      Apache License 2.0
      3500Updated May 22, 2024May 22, 2024
    • Repository for the paper "Amortized Bayesian Decision Making for simulation-based models" - Mila @milagorecki and Michael @michaeldeistler
      Jupyter Notebook
      0300Updated May 21, 2024May 21, 2024
    • Implementation of binary distribution in the Grassmann formalism, including conditional version. Main contributor: Cornelius Schröder (@coschroeder)
      Jupyter Notebook
      MIT License
      0400Updated May 13, 2024May 13, 2024
    • Masked variational autoencoders for modeling conditional distributions of neural and behavioral data
      Python
      MIT License
      0500Updated Apr 29, 2024Apr 29, 2024
    • Development repo for Deistler et al. 2022
      Jupyter Notebook
      GNU Affero General Public License v3.0
      0000Updated Feb 21, 2024Feb 21, 2024
    • Code to reproduce results from `Truncated proposals for scalable and hassle-free simulation-based inference`
      Jupyter Notebook
      GNU Affero General Public License v3.0
      2300Updated Feb 21, 2024Feb 21, 2024
    • sbi_AIMS

      Public
      Public repository for the sbi course at AIMS 2024
      Jupyter Notebook
      MIT License
      1400Updated Jan 21, 2024Jan 21, 2024
    • toy_data

      Public
      Small toy dataset.
      0000Updated Dec 19, 2023Dec 19, 2023
    • Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
      Jupyter Notebook
      GNU Affero General Public License v3.0
      61710Updated Dec 4, 2023Dec 4, 2023