Alternatives and similar repositories for nlb_workshop

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

• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated 5 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 3 weeks ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years 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
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆63Updated last year
• ShanechiLab / torchDFINE
  ☆30Updated last year
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 3 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 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…
  ☆85Updated last month
• ShanechiLab / DPAD
  ☆53Updated 2 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆54Updated 6 months ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆26Updated 3 months ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated 5 months ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆29Updated 7 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆58Updated 3 years ago
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆44Updated last year
• 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 last month
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆36Updated 2 years ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 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.
  ☆38Updated 2 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
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆43Updated 6 years 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
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 6 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• brandbci / brand-tutorial
  Tutorial on how to use BRAND
  ☆14Updated last year
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆19Updated 7 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆113Updated 7 months ago