Alternatives and similar repositories for neural_timeseries_diffusion

Users that are interested in neural_timeseries_diffusion are comparing it to the libraries listed below

• ShanechiLab / torchDFINE
  ☆30Updated last year
• Roche / neuro-green
  This project contains the code for a deep learning architecture to analyze EEG data.
  ☆52Updated 7 months ago
• BruntonUWBio / HTNet_generalized_decoding
  ECoG/EEG neural network decoder that can generalize to unseen participants and recording modalities. Replicates our published results: ht…
  ☆30Updated 4 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 3 months ago
• KrishnaswamyLab / TPHATE
  ☆27Updated 6 months ago
• bfinl / DeepSIF
  ☆42Updated last month
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• OHBA-analysis / osl-dynamics
  Methods for studying dynamic functional brain activity in neuroimaging data.
  ☆73Updated last week
• coffeine-labs / coffeine
  Covariance Data Frames for Predictive M/EEG Pipelines
  ☆33Updated last year
• BruntonUWBio / mining2021
  Code to accompany: https://arxiv.org/abs/2001.08349
  ☆11Updated 2 years ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆30Updated 2 months ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• zubara / mneflow
  Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.
  ☆47Updated 2 weeks ago
• brain-modelling-group / neural-flows
  Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
  ☆29Updated 4 years ago
• timeflux / timeflux_rasr
  Implementation of rASR filtering.
  ☆26Updated 4 years ago
• ShanechiLab / DPAD
  ☆53Updated 2 months ago
• LukeTheHecker / esinet
  EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your M…
  ☆46Updated last year
• athms / learning-from-brains
  Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …
  ☆104Updated 2 years ago
• OscillationMethods / OscillationMethods
  Methodological considerations for analyzing and interpreting neural oscillations.
  ☆31Updated last year
• voytekresearch / EISlope
  Analysis code used to create figures in Gao et al., 2017
  ☆15Updated 8 years ago
• joel99 / ndt3
  Pretrained decoders for intracortical BCI.
  ☆22Updated 3 months ago
• LegrandNico / hmm-mne
  Hidden Markov Modelling of M/EEG data.
  ☆18Updated 4 years ago
• mne-tools / mne-connectivity
  Connectivity algorithms that leverage the MNE-Python API.
  ☆82Updated this week
• pmediano / EntRate
  Entropy rate estimators for neuroscience
  ☆25Updated 4 years ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago
• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆14Updated 2 years ago
• GriffithsLab / whobpyt
  Whole-Brain Modelling in PyTorch
  ☆29Updated this week
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆68Updated last week
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆113Updated 7 months ago