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
  ☆37Updated 5 years ago
• schwartenbeckph / Mechanisms_Exploration_Paper
  Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"
  ☆10Updated 5 years ago
• petered / uoro-demo
  ☆17Updated 5 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 9 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆31Updated 6 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆38Updated 5 years ago
• MikeInnes / zygote-paper
  ☆70Updated 6 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆115Updated last year
• mbaltieri / GeneralisedFiltering
  General framework for Bayesian inversion of continuous hierarchical models
  ☆10Updated 4 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• conorheins / bayesian-mechanics-sdes
  ☆14Updated 3 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆85Updated 8 years ago
• zhenwendai / RGP
  Python library for Recurrent Gaussian Processes
  ☆21Updated 8 years ago
• JuliaSNN / SpikingNeuralNetworks.jl
  Julia Spiking Neural Network Simulator
  ☆45Updated this week
• wesselb / NeuralProcesses.jl
  A framework for composing Neural Processes in Julia
  ☆76Updated 4 years ago
• dimarkov / aibandits
  Active inference implementation of dynamic multi-armed bandits
  ☆19Updated 4 months ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated last year
• PBrdng / LearningAlgebraicVarieties.jl
  Learning Algebraic Varieties from Samples
  ☆24Updated last year
• hanyas / mimo
  A toolbox for inference of mixture models
  ☆16Updated 2 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 11 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆74Updated 3 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• geometric-intelligence / neurometry
  Quantify geometric intelligence in natural and artificial brains.
  ☆51Updated 4 months ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago