tachukao / mgplvm-pytorch

Related projects ⓘ

Alternatives and complementary repositories for mgplvm-pytorch

• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆11Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated 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 last year
• RothkopfLab / lqg
  Inverse optimal control for continuous psychophysics
  ☆23Updated 9 months ago
• agosztolai / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆28Updated 2 weeks ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆62Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆46Updated 2 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆29Updated 2 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 5 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year
• timkimd / plnde
  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
  ☆9Updated 3 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆11Updated last year
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• DurstewitzLab / dendPLRNN
  ☆18Updated 7 months ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆89Updated 3 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆12Updated last week
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆36Updated last month
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆30Updated last year
• marineschimel / ilqr_vae
  ☆10Updated last year
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆48Updated 3 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆45Updated last week
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆33Updated last year
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆57Updated 5 months ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 3 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 2 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆56Updated 4 months ago