pmelchior / proxmin
Proximal optimization in pure python
☆112Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for proxmin
- Proximal algorithms made easy in Python☆59Updated 7 years ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆17Updated last year
- Fast hyperparameter settings for non-smooth estimators:☆39Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago
- Randomized Dimension Reduction Library☆116Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆23Updated 5 years ago
- A Python library for mathematical optimization☆137Updated last month
- Anderson accelerated Douglas-Rachford splitting☆29Updated 3 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆31Updated 2 years ago
- ☆13Updated 3 weeks ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆45Updated 3 years ago
- Manifold Markov chain Monte Carlo methods in Python☆221Updated 2 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆95Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Functional models and algorithms for sparse signal processing☆88Updated last year
- Sequential Neural Likelihood☆38Updated 5 years ago
- A Python convex optimization package using proximal splitting methods☆110Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- ABCpy package☆113Updated 5 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆72Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆109Updated 2 years ago
- local non-uniformity correction for mutual information estimation☆69Updated 3 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆126Updated 3 years ago
- Proximal algorithms and operators in python☆25Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆94Updated last year
- Simulation-based inference benchmark☆89Updated 7 months ago
- Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.☆85Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆60Updated 3 years ago
- Differentiation through cone programs☆91Updated 2 months ago