Alternatives and similar repositories for recurrent-slds

Users that are interested in recurrent-slds are comparing it to the libraries listed below

• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 3 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 4 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆104Updated last year
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆37Updated 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 8 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆33Updated 5 months ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆70Updated 2 years ago
• lindermanlab / ssm
  Bayesian learning and inference for state space models
  ☆674Updated 9 months ago
• mattjj / pyslds
  ☆99Updated 7 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆25Updated 2 weeks ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆14Updated 3 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆55Updated 9 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
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆51Updated 4 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• neurostatslab / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆176Updated 2 years ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆54Updated last year
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆198Updated 8 months ago
• mackelab / poisson-gpfa
  Gaussian process factor analysis with Poisson observations
  ☆19Updated 3 years ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆142Updated last year
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 6 months ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 4 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 5 years ago
• slinderman / pyhsmm_spiketrains
  Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
  ☆15Updated 7 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 6 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 years ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆32Updated 10 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…
  ☆100Updated 6 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆55Updated 5 years ago
• gamaleldin / CFR
  This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…
  ☆10Updated 8 years ago