arvoelke / nengolibLinks
Nengo library of additional extensions
☆29Updated 2 years ago
Alternatives and similar repositories for nengolib
Users that are interested in nengolib are comparing it to the libraries listed below
Sorting:
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- ☆17Updated 5 years ago
- My PhD Thesis☆22Updated 9 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Julia Spiking Neural Network Simulator☆44Updated this week
- A generative model of compositionality in symmetric monoidal (Kleisli) categories☆12Updated 2 years ago
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 4 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- ☆70Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" …☆26Updated 3 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 5 years ago
- Active inference implementation of dynamic multi-armed bandits☆19Updated 4 months ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- Learning Algebraic Varieties from Samples☆24Updated last year
- ☆115Updated last year
- ☆14Updated 3 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- Proximal algorithms and operators in python☆26Updated 6 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- AA120Q Course Materials☆29Updated 9 months ago
- 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
- A differentiation API for PyTorch☆30Updated 5 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago