mackelab

mackelab's repositories

neural_timeseries_diffusion

This repository contains research code for the preprint "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".

Language:PythonAGPL-3.048 6 1

simformer

Combination of transformers and diffusion models for flexible all-in-one simulation-based inference

Language:Jupyter NotebookMIT18 50

gatsbi

GATSBI: Generative Adversarial Training for Simulation-Based Inference

Language:PythonAGPL-3.017 8 3

mnle-for-ddms

Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)

Language:Jupyter NotebookAGPL-3.017 4 3

neuralgbi

Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inference

Language:Jupyter NotebookMIT8 2 2

phase-limit-cycle-RNNs

Code for "Trained recurrent neural networks develop phase-locked limit cycles in a working memory task" - Matthijs Pals (@matthijspals) , Jakob Macke and Omri Barak.

Language:PythonApache-2.05 20

epiphyte

Python toolkit for working with high-dimensional neural data recorded during naturalistic, continuous stimuli @a-darcher @rachrapp

Language:Jupyter NotebookNOASSERTION4 3 3

RABI

Code for robust amortized bayesian inference package

Language:Jupyter Notebook4 4 1

amortized-decision-making

Repository for the paper "Amortized Bayesian Decision Making for simulation-based models" - Mila @milagorecki and Michael @michaeldeistler

Language:Jupyter Notebook3 1 1

sbi-for-connectomics

Research code and results for the paper "Simulation-based inference for computational connectomics" (Boelts et al. 2023 PLoS CB, @janfb)

Language:Jupyter NotebookMIT3 1 1

sbi_AIMS

Public repository for the sbi course at AIMS 2024

Language:Jupyter NotebookMIT3 80

tsnpe_neurips

Code to reproduce results from `Truncated proposals for scalable and hassle-free simulation-based inference`

Language:Jupyter NotebookAGPL-3.03 20

grassmann_binary_distribution

Implementation of binary distribution in the Grassmann formalism, including conditional version. Main contributor: Cornelius Schröder (@coschroeder)

Language:Jupyter NotebookMIT2 20

neuro-behavior-conditioning

Masked variational autoencoders for modeling conditional distributions of neural and behavioral data

Language:PythonMIT200

nflows

Normalizing flows in PyTorch

Language:PythonMIT2 2 3

pyrnn

General code for training (biologically inspired) recurrent neural networks. Code by Matthijs Pals (@matthijspals)

Language:Jupyter Notebook2 11 1

sbibm

Simulation-based inference benchmark

Language:PythonMIT2 10

sequence-memory

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)

Language:Jupyter Notebook2 30

gp-maps-python

Gaussian process method for inferring cortical maps (Python version), code by Dominik Straub @dominikstrb

Language:PythonGPL-3.01 2 1

sbi-ice

Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers

Language:PythonAGPL-3.01 8 3

.github

Repo for mackelab github landing page, maintained by @michaeldeistler

010

labproject

Labproject about comparing distributions metrics by @mackelab

Language:PythonMIT010 17

mackelab-toolbox

This repository contains Python code shared across the lab. Original maintainer: @alcrene

Language:Python05 1

preprocessing-ice-data

Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers

Language:PythonAGPL-3.0080

results

Results and code for reproducibility

Language:Python000

simulation_based_model_inference

Repository for the paper "Simultaneous identification of models and parameters of scientific simulators" -- Cornelius: @coschroeder

MIT000

sourcerer

Code for the preprint "Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation"

Language:PythonMIT070

synapsegan

SynapseGAN: Indistinguishable network dynamics can emerge from unalike plasticity rules

Language:Jupyter NotebookAGPL-3.0080

toy_data

Small toy dataset.

010

tsnpe_neurips_dev

Development repo for Deistler et al. 2022

Language:Jupyter NotebookAGPL-3.0020