Alternatives and similar repositories for Chen_Institute_DataSAI_for_Neuroscience

Users that are interested in Chen_Institute_DataSAI_for_Neuroscience 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
• 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 2 months ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆85Updated 2 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
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆55Updated 7 months ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• ShanechiLab / torchDFINE
  ☆31Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 4 months ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆59Updated 3 years ago
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆198Updated 4 months ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago
• AllenInstitute / openscope_databook
  OpenScope databook: a collaborative, versioned, data-centric collection of foundational analyses for reproducible systems neuroscience 🐁…
  ☆73Updated 3 months ago
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆45Updated 3 weeks ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 2 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆35Updated 7 years ago
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆19Updated 5 months ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆19Updated 3 months ago
• AllenInstitute / swdb_2022
  Repository to host materials for the summer workshop on the dynamic brain
  ☆30Updated 3 years ago
• KrishnaswamyLab / TPHATE
  ☆29Updated 8 months ago
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆30Updated 2 years ago
• ShanechiLab / DPAD
  ☆55Updated 3 months ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 6 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated last week
• marius10p / NeuralDataScienceCSHL2019
  Coding exercises for Neural Data Science at CSHL in 2019
  ☆29Updated 5 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆107Updated this week
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆31Updated last year
• nicholas-roy / psytrack
  ☆56Updated 7 months ago