Alternatives and similar repositories for LowRank:

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

• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated this week
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆48Updated 5 months ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆53Updated 3 months ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆94Updated 7 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated last week
• 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…
  ☆58Updated 3 weeks ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆42Updated last year
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆33Updated 11 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆29Updated 2 years ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆25Updated this week
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated last month
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆18Updated last month
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆68Updated 4 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆44Updated 5 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 7 years ago
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆29Updated 7 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 8 months ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆64Updated last year
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆34Updated 2 years 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
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆49Updated 3 years ago
• nicholas-roy / psytrack
  ☆50Updated 2 weeks ago
• murthylab / GLMHMM
  ☆22Updated 5 years ago