Alternatives and similar repositories for GPFADS

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

• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 2 months ago
• DurstewitzLab / dendPLRNN
  ☆21Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 6 months ago
• oizumi-lab / GWTune
  ☆22Updated 7 months ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆112Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 5 months ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆35Updated 7 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆39Updated last year
• aiweber / GLM_and_Izhikevich
  This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…
  ☆13Updated 2 years ago
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆45Updated 4 months ago
• dLDS-Decomposed-Linear-Dynamics / dLDS-Discrete-Python-Model
  Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
  ☆11Updated last year
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 6 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆69Updated 2 years ago
• KrishnaswamyLab / TPHATE
  ☆28Updated 7 months ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 6 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆26Updated 4 months 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 8 years ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆140Updated last year
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆30Updated 3 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 years ago
• schung039 / neural_manifolds_replicaMFT
  ☆74Updated 3 years ago
• neurallatents / nlb_workshop
  ☆20Updated 3 years ago