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pubmed-landscape
The landscape of biomedical researchrna-seq-tsne
The art of using t-SNE for single-cell transcriptomicst-simcne
Unsupervised visualization of image datasets using contrastive learningneural_data_science
Contains programming labs and lecture notes for the lecture "Neural Data Science"uneye
Deep neural network for eye movement detectioncontrastive-ne
Contrastive neighbor embeddingsumi-normalization
Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome BiologyMorphoPy
ne-spectrum
Attraction-Repulsion Spectrum in Neighbor EmbeddingsRFEst
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 cortexspikefinder_analysis
Analysis code for the results of the spikefinder challengettaug-midl2018
Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks, MIDL 2018morphvae
MorphVAE: Generating Neural Morphologies from 3D-Walkspubmed-tsne-iclr
Two-dimensional visualization of large document libraries using t-SNEneuroprobnum
Probabilistic numerics for common neuroscience models.ttaug-DR-uncertainty
Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Diabetic Retinopathy (DR) Detection via Deep Neural NetworksCBC_inference
Code etc. for CBC inference paper of Oesterle el al. 2020genderBagNets
Interpretable gender classification from retinal fundus images using BagNetssBNN
A sparse bottleneck neural network to predict electrophysiological properties of neurons from their gene expression.EphysExtraction
Code to extract electrophysiological parameters of neurons.cone_colour_tuning
coding-guidelines
Collaboration guidelines and default configurations for common Github repositories.abc-ribbon
layer4
Analysis code for the L4 paperubuntu_quick_setup
hh_sbi
morphology-benchmark
pr_bc_connectivity
Notebooks for Behrens et al.bc_network
bayesian_2p_pipeline
Code for the manuscript "Bayesian hypothesis testing and experimental design for two-photon imaging data"Love Open Source and this site? Check out how you can help us