pykale / transparentML

Related projects ⓘ

Alternatives and complementary repositories for transparentML

• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆37Updated 2 months ago
• neurodata / lollipop
  Linear Optimal Low Rank Projection
  ☆18Updated 5 years ago
• kundaMwiza / fMRI-site-adaptation
  Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)
  ☆33Updated last year
• libilab / rsfMRI-VAE
  Pytorch implementation of 'Representation Learning of Resting State fMRI with Variational Autoencoder'
  ☆26Updated 2 years ago
• neurodatascience / dFC
  An implementation of several well-known dynamic Functional Connectivity assessment methods.
  ☆14Updated last week
• shalit-lab / deep-scientific-discovery
  An implementation of the paper 'Using Deep Networks for Scientific Discovery in Physiological Signals'
  ☆12Updated 4 years ago
• jameschapman19 / cca_zoo
  Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn…
  ☆192Updated 6 months ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆24Updated last year
• lukassnoek / NI-edu
  Student version of NI-edu courses
  ☆52Updated 6 months ago
• XiaoxiWei / NeurIPS_BEETL
  This is the NeurIPS BEETL repository (https://beetl.ai)
  ☆35Updated last year
• athms / learning-from-brains
  Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …
  ☆88Updated last year
• arthurmensch / cogspaces
  Multi-study decoding models for task functional MRI data.
  ☆33Updated 3 years ago
• largeapp / Brain-Image-Analysis
  Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.
  ☆62Updated 3 years ago
• alien18 / GCN_SCZ_Classification
  ☆10Updated 2 years ago
• smweis / methods_in_neuro
  A list of links and resources for my Methods in Neuroimaging Course
  ☆58Updated 6 months ago
• sylvchev / beetl-competition
  Code helper for BEETL competition
  ☆11Updated 3 years ago
• Wayfear / FBNETGEN
  ☆30Updated 2 years ago
• barahona-research-group / hcga
  Highly Comparative Graph Analysis - Code for network phenotyping
  ☆44Updated 5 months ago
• vandijklab / BrainLM
  ☆78Updated 5 months ago
• HaojiongZhang / TUH-EEG-Dataset
  Code for extracting meta data from TUH EGG corpuses and queries
  ☆13Updated 2 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆36Updated last month
• zhangyu2ustc / gcn_tutorial_test
  ☆24Updated last year
• mb-BCA / notebooks_review2019
  These Python notebooks reproduce some figures in the following preprint using the libraries pyMOU and NetDynFlow: https://www.biorxiv.org…
  ☆10Updated last year
• neerajwagh / evaluating-eeg-representations
  Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts".…
  ☆16Updated last year
• jeremykawahara / ann4brains
  Artificial neural networks for brain networks
  ☆73Updated 4 years ago
• BrainModes / fast-slow
  Excitation-inhibition balance brain network fitting
  ☆20Updated last year
• nicofarr / brainnetcnnVis_pytorch
  Pytorch implementation of BrainNetCNN (Kawahara et al. 2016) + visualization method
  ☆21Updated 6 years ago
• mne-tools / mne-connectivity
  Connectivity algorithms that leverage the MNE-Python API.
  ☆68Updated last week
• zhangyu2ustc / GCN_fmri_decoding
  Brain decoding using graph convolutional network on fMRI time-series
  ☆39Updated 4 years ago
• Warvito / Normative-modelling-using-deep-autoencoders
  Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
  ☆26Updated last year