Alternatives and similar repositories for lqg:

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

• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 2 years ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• marineschimel / ilqr_vae
  ☆11Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆19Updated 3 weeks ago
• pauljaffe / task-dyva
  ☆15Updated 6 months ago
• payampiray / VKF
  ☆15Updated 5 years ago
• DurstewitzLab / dendPLRNN
  ☆20Updated last year
• jamesheald / COIN
  The COntextual INference (COIN) model
  ☆21Updated 9 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
• namboodirilab / ANCCR
  ☆13Updated last year
• infer-actively / pypc
  Predictive coding in Python
  ☆65Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated last month
• dLDS-Decomposed-Linear-Dynamics / dLDS-Discrete-Python-Model
  Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
  ☆10Updated last year
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆13Updated 3 years ago
• OlivierCodol / MotorNet
  A package to train neural networks to perform various motor tasks
  ☆66Updated 2 months ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆66Updated last year
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆11Updated 3 weeks ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆97Updated 9 months ago
• payampiray / LinearRL
  ☆23Updated 3 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆28Updated 6 years ago
• 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
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆37Updated last year
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆32Updated last year
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆109Updated 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
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆49Updated last year