benchopt / template_benchmark
☆26Updated 3 months ago
Alternatives and similar repositories for template_benchmark
Users that are interested in template_benchmark are comparing it to the libraries listed below
Sorting:
- Fast hyperparameter settings for non-smooth estimators:☆40Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated 11 months ago
- Making your benchmark of optimization algorithms simple and open☆262Updated last week
- Python package to fetch data from the LIBSVM website.☆20Updated 2 weeks ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 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- This code is no longer maintained.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
- Multi-task regression in Python☆25Updated 4 years ago
- Benchopt benchmark for Lasso☆14Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated last year
- ☆13Updated 3 months ago
- A generic interface for linear algebra backends☆73Updated 2 months ago
- Riemannian Optimization Using JAX☆49Updated last year
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆118Updated 3 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆99Updated last year
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 years ago
- Jax SSM Library☆49Updated 2 years ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆87Updated 3 months ago
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated last year
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Tools for JAX☆46Updated last week
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- El0ps: An Exact L0-Problem Solver☆9Updated last week
- Fast and modular sklearn replacement for generalized linear models☆172Updated last week
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆40Updated 3 weeks ago