Alternatives and similar repositories for flexible_multitask

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

• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆60Updated last month
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆22Updated last month
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated last year
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆101Updated 4 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆53Updated 4 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated 11 months ago
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆17Updated 5 months ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆48Updated last year
• 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
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated 2 months ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 2 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆21Updated 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…
  ☆73Updated 4 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆53Updated 3 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆17Updated 3 months ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆28Updated 3 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 3 weeks ago
• colehurwitz / IBL_MtM_model
  IBL foundation model
  ☆23Updated 6 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆31Updated last month
• neurallatents / neurallatents.github.io
  ☆16Updated 2 years ago
• kstach01 / CogModelingRNNsTutorial
  ☆48Updated last year
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 4 months ago
• 8erberg / NeuroAI_Trainee_Resources
  ☆78Updated 4 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆54Updated 2 years ago
• jbakermans / state-space-composition
  Models and simulations for state space composition
  ☆17Updated 6 months ago
• ShanechiLab / torchDFINE
  ☆30Updated last year
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆67Updated 2 months ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆29Updated 7 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆38Updated 2 years ago