glajoie / MAT6115_Dynamical_SystemsLinks
Support material for MAT6115, Université de Montréal, Fall 2018
☆28Updated last year
Alternatives and similar repositories for MAT6115_Dynamical_Systems
Users that are interested in MAT6115_Dynamical_Systems are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- ☆80Updated 4 years ago
- Active inference implementation of dynamic multi-armed bandits☆21Updated 6 months ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 4 years ago
- Predictive coding in Python☆70Updated last year
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- ☆41Updated 3 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 5 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"☆10Updated 5 years ago
- ☆22Updated 4 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- neuronal message passing☆19Updated 7 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- ☆19Updated 3 years ago