This is the official Github page of the Neural Data Science and Statistical Computing (NeurDS) lab at the MPI CBS.
NeurDS Lab
Neural Data Science and Statistical Computing
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BigGAN-PyTorch
BigGAN-PyTorch PublicForked from ajbrock/BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
Python
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers PublicForked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Jupyter Notebook
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Treasure-Gene-expression-regions
Treasure-Gene-expression-regions PublicLearning gene expression regions in mouse brains.
Jupyter Notebook
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nighres
nighres PublicForked from nighres/nighres
Processing tools for high-resolution neuroimaging
Python
Repositories
Showing 10 of 25 repositories
- neural-data-science-lab.github.io Public Forked from rt2lab/rt2lab.github.io
Lab page of NeurDS Group
- NEUROAI_AAAI_BRAINS Public
BRAINS, a framework based on Convolutional Variational Autoencoders that learns subject-specific latent spaces directly from BOLD signals. Using Procrustes alignment, we show that individual latent spaces can be aligned across participants, revealing both shared and idiosyncratic components of cortical organization.
- NESC_3505_textbook Public Forked from neural-data-science/NESC_3505_textbook
MPI CBS fork of Textbook for NESC 3505, Neural Data Science, at Dalhousie University
- zennit-crp Public Forked from rachtibat/zennit-crp
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
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