Alternatives and similar repositories for nengolib:

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

• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• arvoelke / delay2017
  Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells
  ☆7Updated 7 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 3 years ago
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 3 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆12Updated 11 months ago
• petered / uoro-demo
  ☆17Updated 4 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 8 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 6 years ago
• drasmuss / nhrlmodel
  Neural model of hierarchical reinforcement learning
  ☆16Updated 7 years ago
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆19Updated last year
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆33Updated 5 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 3 years ago
• petered / sigma-delta
  Contains Code for our Sigma-Delta Nets Paper
  ☆10Updated 8 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago
• ctn-waterloo / modelling_ideas
  Ideas for models that could be made with Nengo if anyone has time
  ☆9Updated last year
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated last year
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 5 years ago
• HIPS / DESI-MCMC
  MCMC for the Dark Energy Spectroscopic Instrument
  ☆13Updated 8 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• rfeinman / learning-to-learn
  Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
  ☆21Updated 6 years ago
• slinderman / stats215
  ☆29Updated 5 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 7 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 9 years ago
• sisl / AA120Q
  AA120Q Course Materials
  ☆28Updated last month
• ilennaj / ktree
  Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
  ☆46Updated 4 years ago
• compneurojc / compneurojc.github.io
  Website for the MIT/Harvard Computational Neuroscience Journal Club
  ☆11Updated last year
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago