Explore @berenslab Open Source projects

Berens Lab @ University of Tübingen (@berenslab)

berenslab

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Location 🇩🇪 Germany
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pubmed-landscape

The landscape of biomedical research

Jupyter Notebook

rna-seq-tsne

The art of using t-SNE for single-cell transcriptomics

Jupyter Notebook

t-simcne

Unsupervised visualization of image datasets using contrastive learning

neural_data_science

Contains programming labs and lecture notes for the lecture "Neural Data Science"

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uneye

Deep neural network for eye movement detection

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contrastive-ne

Contrastive neighbor embeddings

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umi-normalization

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

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MorphoPy

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ne-spectrum

Attraction-Repulsion Spectrum in Neighbor Embeddings

RFEst

A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.

mini-atlas

Phenotypic variation of transcriptomic cell types in mouse motor cortex

Jupyter Notebook

patch-seq-rrr

Sparse reduced-rank regression

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spikefinder_analysis

Analysis code for the results of the spikefinder challenge

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ttaug-midl2018

Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks, MIDL 2018

morphvae

MorphVAE: Generating Neural Morphologies from 3D-Walks

Jupyter Notebook

pubmed-tsne-iclr

Two-dimensional visualization of large document libraries using t-SNE

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neuroprobnum

Probabilistic numerics for common neuroscience models.

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ttaug-DR-uncertainty

Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Diabetic Retinopathy (DR) Detection via Deep Neural Networks

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CBC_inference

Code etc. for CBC inference paper of Oesterle el al. 2020

genderBagNets

Interpretable gender classification from retinal fundus images using BagNets

Jupyter Notebook

sBNN

A sparse bottleneck neural network to predict electrophysiological properties of neurons from their gene expression.

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EphysExtraction

Code to extract electrophysiological parameters of neurons.

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cone_colour_tuning

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coding-guidelines

Collaboration guidelines and default configurations for common Github repositories.

abc-ribbon

Jupyter Notebook

layer4

Analysis code for the L4 paper

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ubuntu_quick_setup

hh_sbi

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morphology-benchmark

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pr_bc_connectivity

Notebooks for Behrens et al.

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bc_network

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bayesian_2p_pipeline

Code for the manuscript "Bayesian hypothesis testing and experimental design for two-photon imaging data"

Jupyter Notebook