Alternatives and similar repositories for randman

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

• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆21Updated 5 years ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆63Updated 2 years ago
• nirum / jetplot
  🔋 Utilities for scientific python
  ☆19Updated last month
• dieterichlawson / snax
  ☆12Updated last year
• anne-urai / largescale_recordings
  Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…
  ☆18Updated 3 years ago
• catniplab / xfads
  large scale variational Gaussian state-space models
  ☆11Updated this week
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆97Updated 10 months ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆37Updated 6 years ago
• RainerEngelken / neurotheory-seminar-2020
  Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020
  ☆10Updated 5 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 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
• 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
• jahuth / convis
  ☆26Updated last year
• JRBCH / spiffyplots
  A collection of matplotlib style sheets and plotting tools for publication-ready figures
  ☆14Updated 2 years ago
• conorheins / bayesian-mechanics-sdes
  ☆13Updated 2 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆49Updated 3 years ago
• mattgolub / bci_learning
  Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.
  ☆21Updated 7 years ago
• vicariousinc / naturecomm_cscg
  ☆39Updated 2 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• awillats / dynamics-in-neuro-reading-list
  This reading list is centered around the practical application of linear dynamical systems models to predict neural data
  ☆38Updated 3 years ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated last year
• schung039 / neural_manifolds_replicaMFT
  ☆71Updated 3 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆67Updated last year
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆17Updated last year
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• eminorhan / recurrent-memory
  When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
  ☆16Updated 5 years ago
• INM-6 / networkunit
  A SciUnit library for validation testing of spiking neural network models.
  ☆16Updated 10 months ago
• arsedler9 / nlb-lightning
  PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.
  ☆8Updated 2 years ago
• libertyh / ising-model
  Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
  ☆18Updated 8 years ago