ryokamoi / sg_langevinLinks
Implementation of Stochastic Gradient Langevin Dynamics
☆13Updated 6 years ago
Alternatives and similar repositories for sg_langevin
Users that are interested in sg_langevin are comparing it to the libraries listed below
Sorting:
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 5 years ago
- ☆40Updated 3 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 8 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Updated 5 years ago
- test repo for Algorithms for Optimization☆31Updated 3 years ago
- Estimators for Information Theoretic Functionals using Influence Functions☆11Updated 9 years ago
- ☆12Updated 3 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Proximal operators for nonsmooth optimization in Julia☆137Updated last year
- Optimal transport algorithms for Julia☆109Updated last month
- DifferentialEquations.jl with PyTorch☆11Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Proximal algorithms for nonsmooth optimization in Julia☆135Updated 3 months ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆69Updated last week
- Continuous-time gradient flow for generative modeling and variational inference☆33Updated 6 years ago
- Deep variational Bayes filter in julia using Flux☆14Updated 4 years ago
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆137Updated last year
- Sum-product networks in Julia.☆37Updated 2 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Julia implementation for various Frank-Wolfe and Conditional Gradient variants☆111Updated last week
- A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems☆32Updated 3 years ago
- Algorithms for Learning Graphical Models☆25Updated 2 years ago
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆55Updated last year
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.☆20Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago