Alternatives and similar repositories for warhmm

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

• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆36Updated last year
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• DurstewitzLab / dendPLRNN
  ☆20Updated last year
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 6 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 5 months ago
• calebweinreb / SNUB
  ☆28Updated 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…
  ☆82Updated 3 weeks ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆29Updated 6 months ago
• nicholas-roy / psytrack
  ☆54Updated 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
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆139Updated last year
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆54Updated 5 months ago
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆19Updated 3 months ago
• KrishnaswamyLab / TPHATE
  ☆27Updated 6 months ago
• themattinthehatt / behavenet
  Toolbox for analyzing behavioral videos and neural activity
  ☆59Updated last year
• murraylab / PyDDM
  A drift-diffusion modeling (DDM) framework for Python3
  ☆17Updated 2 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated last week
• BenjoCowley / DataHigh
  DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
  ☆17Updated 6 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆25Updated 3 months ago
• SjulsonLab / generalized_contrastive_PCA
  Method to find contrastive dimensions between experimental conditions
  ☆22Updated 4 months ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated 4 months ago
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 7 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆102Updated last week
• davidzoltowski / paglm
  Fast approximate inference for Poisson GLMs
  ☆10Updated 5 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆111Updated 2 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 3 months ago
• tjd2002 / tjd-shared-code
  Neuroscience/electrophsyiology data analysis tools (mostly Matlab)
  ☆14Updated 6 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 4 months ago