josephsalmon / OrganizationFilesLinks
☆13Updated 8 months ago
Alternatives and similar repositories for OrganizationFiles
Users that are interested in OrganizationFiles are comparing it to the libraries listed below
Sorting:
- Making your benchmark of optimization algorithms simple and open☆273Updated this week
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 8 months ago
- ☆26Updated 2 weeks ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Updated 11 months ago
- Proximal optimization in pure python☆118Updated 3 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- This code is no longer maintained.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…☆18Updated 2 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Python package to fetch data from the LIBSVM website.☆20Updated 5 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
- ☆40Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 9 months ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 8 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆239Updated last year
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights☆28Updated 4 years ago
- Benchopt benchmark for Lasso☆14Updated 3 months ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆89Updated 2 months ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago