josephsalmon / OrganizationFiles
☆13Updated this week
Alternatives and similar repositories for OrganizationFiles:
Users that are interested in OrganizationFiles are comparing it to the libraries listed below
- Fast hyperparameter settings for non-smooth estimators:☆39Updated last year
- Python package to fetch data from the LIBSVM website.☆19Updated last year
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆17Updated 2 years ago
- Benchopt benchmark for Lasso☆14Updated last year
- El0ps: An Exact L0-Problem Solver☆9Updated last month
- Making your benchmark of optimization algorithms simple and open☆257Updated last month
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 8 months ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆85Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆100Updated last year
- A Fast sketching based solver for large scale ridge regression☆17Updated 8 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 2 months ago
- Software dev. for data science (Python)☆14Updated 2 weeks ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 6 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆11Updated 3 months ago
- ☆25Updated last month
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆18Updated 3 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 4 years ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 7 years ago
- A generic interface for linear algebra backends☆71Updated 7 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆85Updated this week
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆30Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago