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
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆35Updated last year
• 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
• sompolinsky-lab / dnn-object-manifolds
  ☆50Updated 3 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 3 weeks ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆30Updated 3 years ago
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 7 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 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…
  ☆83Updated last week
• KordingLab / llm4papers
  ☆24Updated last year
• 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
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• KrishnaswamyLab / TPHATE
  ☆26Updated 5 months ago
• espenhgn / ViSAPy
  Python package for generating benchmark data for evaluating spike sorting methods
  ☆21Updated 4 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆67Updated 2 years ago
• mackelab / automind
  Automated Model Inference from Neural Dynamics
  ☆15Updated last month
• flatironinstitute / kachery-cloud
  ☆22Updated 9 months ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 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
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• anne-urai / largescale_recordings
  Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…
  ☆18Updated 3 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆48Updated 3 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆39Updated last year
• 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…
  ☆76Updated last week
• lindermanlab / gpslds
  Project repo for gpSLDS
  ☆11Updated 7 months ago
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆35Updated 2 years ago