mackelab Goto Github PK
Name: mackelab
Type: Organization
Bio: Machine Learning in Science at University of Tübingen, Germany
Twitter: mackelab
Blog: www.mackelab.org
Name: mackelab
Type: Organization
Bio: Machine Learning in Science at University of Tübingen, Germany
Twitter: mackelab
Blog: www.mackelab.org
Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series.
This repository contains research code for the preprint "Generating realistic neurophysiological time series with denoising diffusion probabilistic models".
Normalizing flows in PyTorch
Normalizing flows in PyTorch
A first start as a resource for pooling lecture materials for computational neuroscience course
Code for "Trained recurrent neural networks develop phase-locked limit cycles in a working memory task" - Matthijs Pals (@matthijspals) , Jakob Macke and Omri Barak.
Gaussian process factor analysis with Poisson observations
subspace identification for linear systems
conditional density estimation with neural networks
large-scale implementation of the expectation-maximisation algoithm in python for the linear dynamical system
Simulator of the pyloric network in cython.
General code for training (biologically inspired) recurrent neural networks. Code by Matthijs Pals (@matthijspals)
A collection of introductory exercises and materials for Python, assembled by @alcrene and @ASpeiser
Code for robust amortized bayesian inference package
Results and code for reproducibility
subspace identficiation for partially observed high-dimensional data
Simulation-based inference toolkit
Research code and results for the paper "Simulation-based inference for computational connectomics" (Boelts et al. 2023 PLoS CB, @janfb)
SBI JOSS manuscript source
Simulation-based inference benchmark
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)
A library for both Simulation and INference of dynamical systems. Maintained by @alcrene
Python 3 port of SNL
Reproduce results from the SVNI paper, Glöckler et al. 2022, ICLR
Code for submission of Speiser et al to spike-finder-challenge 2017
Python Package which collects simulators for Sequential Sampling Models. Forked for MNLE-LAN comparison, @janfb
Repo for STG energy paper. Michael (@michaeldeistler) and Pedro (@ppjgoncalves).
A simple interface to easily switch between using Theano and pure Numpy. Maintained by @alcrene
Code to reproduce results from `Truncated proposals for scalable and hassle-free simulation-based inference`
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.