Alternatives and similar repositories for torchDFINE:

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

• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆30Updated 10 months ago
• ShanechiLab / DPAD
  ☆46Updated 3 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆50Updated 3 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆28Updated 2 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆45Updated 4 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• ShanechiLab / PSID
  Preferential Subspace Identification Algorithm
  ☆46Updated last year
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆93Updated 2 weeks ago
• snel-repo / neural-data-transformers
  ☆74Updated 2 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆13Updated 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
• pillowlab / GLMspiketraintutorial_python
  ☆49Updated 2 years ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆47Updated 4 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 last year
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆52Updated last month
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 6 months ago
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆33Updated 2 years ago
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆29Updated 2 years ago
• glaserlab / sca
  Sparse component analysis
  ☆26Updated this week
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆16Updated this week
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated 2 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆12Updated 2 years 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
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆46Updated last year
• awillats / dynamics-in-neuro-reading-list
  This reading list is centered around the practical application of linear dynamical systems models to predict neural data
  ☆36Updated 3 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆16Updated last month
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆44Updated last year
• joel99 / context_general_bci
  Towards large neural data models.
  ☆27Updated 2 months ago
• colehurwitz / IBL_foundation_model
  IBL foundation model
  ☆18Updated 2 months ago