ryokamoi / sg_langevinLinks
Implementation of Stochastic Gradient Langevin Dynamics
☆13Updated 7 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☆28Updated 5 years ago
- ☆40Updated 4 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 8 years ago
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Updated 6 years ago
- Deep variational Bayes filter in julia using Flux☆14Updated 5 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆26Updated 6 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.☆17Updated 6 years ago
- Optimal transport algorithms for Julia☆112Updated 5 months ago
- Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)☆33Updated 5 years ago
- Sum-product networks in Julia.☆37Updated 3 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Updated 3 years ago
- Abstract operators for large scale optimization in Julia☆30Updated this week
- Algorithms for Learning Graphical Models☆25Updated 2 years ago
- Fast low-rank matrix approximation in Julia☆124Updated last year
- A Julia implementation of tensor decomposition algorithms☆46Updated 4 years ago
- Gaussian Processes for Sequential Data☆19Updated 5 years ago
- Julia interface to CVXOPT☆12Updated 5 years ago
- test repo for Algorithms for Optimization☆31Updated 3 years ago
- Structured optimization in Julia☆75Updated 2 years ago
- Proximal algorithms for nonsmooth optimization in Julia☆140Updated 7 months ago
- DifferentialEquations.jl with PyTorch☆11Updated 3 years ago
- An experimental solver for (disjunctive) mixed-integer programming☆11Updated 4 years ago
- Julia implementation of stochastic optimization algorithms for large-scale optimal transport.☆18Updated 4 years ago
- Proximal operators for nonsmooth optimization in Julia☆138Updated 2 years ago
- A Julia package for manifold learning and nonlinear dimensionality reduction☆94Updated last year
- Solving unregularized optimal transport problems with Julia☆18Updated 2 years ago
- Use Optim to train Flux models and visualize loss landscapes☆60Updated 2 years ago
- Julia implementation for various Frank-Wolfe and Conditional Gradient variants☆114Updated last week