Alternatives and similar repositories for neuralflow

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

• erikher / GridCellTorus
  ☆32Updated last year
• sompolinsky-lab / dnn-object-manifolds
  ☆49Updated 3 years ago
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago
• lindermanlab / gpslds
  Project repo for gpSLDS
  ☆11Updated 6 months ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆35Updated last year
• KrishnaswamyLab / TPHATE
  ☆25Updated 4 months ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆17Updated this week
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆30Updated 2 years ago
• KordingLab / llm4papers
  ☆24Updated last year
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆16Updated 4 years ago
• Dynamics-of-Neural-Systems-Lab / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆75Updated 4 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• StatPhys2DataDrivenModel / DDM_Book_Tutorials
  Tutorials for the book.
  ☆13Updated 3 years ago
• DurstewitzLab / dendPLRNN
  ☆20Updated last year
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆75Updated 5 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆38Updated 2 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• AlGoulas / bio2art
  Convert biological neuronal networks to artificial recurrent neuronal networks
  ☆21Updated 3 years ago
• xjwanglab / pyrl
  ☆19Updated 8 years ago
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆18Updated 7 years ago
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 7 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆67Updated last year
• neurostatslab / wishart-process
  Estimating Noise Correlations in Neural Populations with Wishart Processes
  ☆8Updated last year
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆82Updated 10 months ago
• mackelab / automind
  Automated Model Inference from Neural Dynamics
  ☆13Updated last week
• mb-BCA / NetDynFlow
  A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.
  ☆11Updated 11 months ago
• INM-6 / hybridLFPy
  Biophysics-based prediction of LFPs from point-neuron networks
  ☆10Updated last year