Alternatives and similar repositories for tensor-demo

Users that are interested in tensor-demo are comparing it to the libraries listed below

• neurostatslab / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆174Updated last year
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆30Updated 10 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• KordingLab / spykesML
  A class for using ML algorithms for spike prediction
  ☆61Updated 7 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 6 years ago
• KordingLab / spykes
  Tools for spike data analysis and visualization
  ☆108Updated 2 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
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆53Updated 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
• FeeLab / seqNMF
  An algorithm for unsupervised discovery of sequential structure
  ☆167Updated last year
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 7 years ago
• arnefmeyer / lnpy
  Python code for estimation of linear-nonlinear model parameters
  ☆22Updated 4 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆32Updated 2 weeks ago
• baccuslab / pyret
  Python tools for analysis of neurophysiology data
  ☆37Updated last year
• machenslab / dPCA
  An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
  ☆305Updated 3 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆38Updated last year
• flatironinstitute / ironclust
  Spike sorting software being developed at Flatiron Institute, based on JRCLUST (Janelia Rocket Cluster)
  ☆28Updated 3 years ago
• ahwillia / PyNeuron-Toolbox
  Some python functions to supplement the NEURON python module
  ☆29Updated 6 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆70Updated 6 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.
  ☆14Updated 7 years ago
• AllenInstitute / neuroglia
  a Python machine learning library for neurophysiology data
  ☆36Updated 6 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆112Updated 2 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