Alternatives and similar repositories for IBL_MtM_model

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

• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆113Updated 7 months ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆63Updated last year
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆68Updated this week
• joel99 / context_general_bci
  Towards large neural data models.
  ☆30Updated 2 months 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…
  ☆84Updated last month
• snel-repo / falcon-challenge
  ☆17Updated last week
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• ShanechiLab / torchDFINE
  ☆30Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 3 months ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆66Updated 3 weeks ago
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆19Updated 7 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 4 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆49Updated 11 months ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 5 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆54Updated 6 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆58Updated 3 years ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆29Updated 7 months ago
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆71Updated 5 years ago
• neurallatents / neurallatents.github.io
  ☆16Updated 2 years ago
• joel99 / ndt3
  Pretrained decoders for intracortical BCI.
  ☆22Updated 3 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 3 weeks ago
• neuro-galaxy / torch_brain
  ☆42Updated this week
• ShanechiLab / DPAD
  ☆53Updated 2 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 5 months ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated 5 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆25Updated 3 months ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆38Updated last year