Alternatives and similar repositories for chaotic_RNN

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

• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆115Updated last year
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 5 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 10 years ago
• libilab / PCN-with-Global-Recurrent-Processing
  Code for "Deep predictive coding network for object recognition"
  ☆25Updated 5 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 7 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆37Updated 6 years ago
• kaiu85 / hm-rnn
  PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks
  ☆15Updated 6 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• patrickmineault / xcorr-notebooks
  An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.
  ☆78Updated 2 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 8 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 2 years ago
• baccuslab / inferring-hidden-structure-retinal-circuits
  Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
  ☆14Updated 3 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆44Updated 4 years ago
• ericjang / RNN-dynamics
  Code and report for APMA136 Final Project
  ☆19Updated 10 years ago
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated 2 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• mattjj / pyslds
  ☆96Updated 7 years ago
• neuroailab / tnn
  Biologically-realistic recurrent convolutional neural networks
  ☆98Updated last year
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 7 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆49Updated 3 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 5 years ago
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• neuroailab / Neural-Alignment
  ☆24Updated 4 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• ethanwharris / STAWM
  Code for the paper 'A Biologically Inspired Visual Working Memory for Deep Networks'
  ☆21Updated 6 years ago
• manuelmolano / Spike-GAN
  Tensorflow implementation of Spike-GAN, which allows generating realistic patterns of neural activity whose statistics approximate a give…
  ☆23Updated 6 years ago