QB3 / sparse-hoLinks
Fast hyperparameter settings for non-smooth estimators:
☆40Updated 2 years ago
Alternatives and similar repositories for sparse-ho
Users that are interested in sparse-ho are comparing it to the libraries listed below
Sorting:
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated last month
- Proximal optimization in pure python☆118Updated 3 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 4 years ago
- ☆13Updated 7 months ago
- Douglas-Rachford Splitting for Optimal Transport☆11Updated 4 years ago
- Making your benchmark of optimization algorithms simple and open☆273Updated this week
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 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…☆54Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆142Updated 3 months ago
- ☆26Updated last week
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Differentiation through cone programs☆106Updated last month
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 6 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Algorithms for computations on random manifolds made easier☆93Updated last year
- Large-scale, multi-GPU capable, kernel solver☆191Updated 2 months ago
- Deep universal probabilistic programming with Python and PyTorch☆12Updated 5 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆237Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago