Alternatives and similar repositories for DSA:

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

• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• lauradriscoll / flexible_multitask
  code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
  ☆10Updated last month
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆19Updated last month
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 8 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated 2 months ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆34Updated 6 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated 2 weeks ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated 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…
  ☆59Updated last month
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆33Updated 11 months ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆43Updated last year
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated 3 weeks 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
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆25Updated 2 weeks ago
• glaserlab / sca
  Sparse component analysis
  ☆26Updated last month
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 5 months ago
• OlivierCodol / MotorNet
  A package to train neural networks to perform various motor tasks
  ☆63Updated last month
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆16Updated 2 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• kstach01 / CogModelingRNNsTutorial
  ☆48Updated 11 months ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆14Updated last year
• ShanechiLab / DPAD
  ☆47Updated 5 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆134Updated 8 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated this week
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• ShanechiLab / torchDFINE
  ☆29Updated last year
• 8erberg / NeuroAI_Trainee_Resources
  ☆73Updated last month
• ShanechiLab / PSID
  Preferential Subspace Identification Algorithm
  ☆49Updated last year
• xjwanglab / book
  ☆23Updated 4 months ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year