Alternatives and similar repositories for neural-data-transformers

Users that are interested in neural-data-transformers are comparing it to the libraries listed below

• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated last year
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆69Updated 4 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆111Updated 7 months ago
• neurallatents / nlb_workshop
  ☆20Updated 3 years 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…
  ☆82Updated 3 weeks ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆29Updated last month
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆66Updated last week
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• colehurwitz / IBL_MtM_model
  IBL foundation model
  ☆25Updated 8 months ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆83Updated 2 weeks ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 4 months ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆33Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 2 months ago
• ShanechiLab / torchDFINE
  ☆30Updated last year
• sinzlab / sensorium
  Code base for the SENSORIUM competition.
  ☆64Updated last year
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆25Updated 3 months ago
• neuro-galaxy / torch_brain
  ☆41Updated last week
• 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
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆36Updated last year
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated 4 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 5 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆139Updated last year
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆54Updated 5 months ago
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆233Updated 4 years ago
• snel-repo / falcon-challenge
  ☆17Updated 4 months ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆29Updated 6 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 4 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆57Updated 2 years ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year