ganguli-lab / proxalgsLinks
Proximal algorithms and operators in python
☆26Updated 6 years ago
Alternatives and similar repositories for proxalgs
Users that are interested in proxalgs are comparing it to the libraries listed below
Sorting:
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- ☆67Updated 7 years ago
- A Python convex optimization package using proximal splitting methods☆117Updated last month
- Frank-Wolfe optimization variants with a linear convergence rate☆22Updated 9 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Updated 5 years ago
- Optimal transport and generalizations☆66Updated 6 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Legendre decomposition for tensors☆13Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Dirichlet Process K-means☆48Updated last year
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Updated 11 years ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆94Updated 3 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 6 years ago
- ☆28Updated 6 years ago
- A matlab library for CUR matrix decomposition☆27Updated 8 years ago