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
  ☆39Updated 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
• DurstewitzLab / dendPLRNN
  ☆22Updated last year
• calebweinreb / SNUB
  ☆28Updated last week
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 7 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆55Updated 7 months ago
• KrishnaswamyLab / TPHATE
  ☆29Updated 8 months 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…
  ☆88Updated 3 months ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆19Updated 5 months ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆107Updated last week
• davidzoltowski / paglm
  Fast approximate inference for Poisson GLMs
  ☆11Updated 6 years ago
• PeyracheLab / Class-Decoding
  Supervised and unsupervised techniques to decode signals from a population of neurons: the case of head-direction cells.
  ☆12Updated 5 years ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 3 years ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆50Updated last month
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 6 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated 2 years ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 8 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆141Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 5 months ago
• cajal / pipeline
  Schemata and libraries for neuroscientific data
  ☆29Updated last month
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 2 months ago
• ahwillia / PyNeuron-Toolbox
  Some python functions to supplement the NEURON python module
  ☆29Updated 6 years ago
• paninski-lab / beast
  Behavioral analysis via self-supervised pretraining of transformers
  ☆16Updated 3 weeks ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 6 months ago
• nicholas-roy / psytrack
  ☆56Updated 7 months ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆13Updated 6 years ago
• timkimd / plnde
  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
  ☆13Updated 4 years ago
• themattinthehatt / behavenet
  Toolbox for analyzing behavioral videos and neural activity
  ☆60Updated last year