sklearn-jax-kernels

Kernel library

A set of composable kernels for scikit-learn implemented in JAX to accelerate computation and gradient calculation.

Composable kernels for scikit-learn implemented in JAX.

GitHub

42 stars
5 watching
4 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
cstjean/scikitlearn.jlA Julia implementation of popular machine learning algorithms and interfaces.547
steven2358/kmboxA collection of MATLAB programs implementing kernel-based algorithms for nonlinear signal processing and machine learning.52
ikostrikov/jaxrlProvides JAX implementations of various reinforcement learning algorithms with continuous action spaces.640
nok/sklearn-porterA tool for transpiling scikit-learn estimators to various programming languages.1,294
lehy/ocaml-sklearnEnables machine learning with scikit-learn in OCaml34
darshandeshpande/jax-modelsProvides a collection of deep learning models and utilities in JAX/Flax for research purposes.151
asem000/kernexA JAX-based stencil computation library for efficient numerical computations67
gordicaleksa/get-started-with-jaxA repository providing tutorials and resources to learn JAX, a popular alternative to PyTorch and TensorFlow for machine learning.670
amueller/scipy_2015_sklearn_tutorialTutorials and materials for learning machine learning with Python using popular libraries like scikit-learn.576
hyperopt/hyperopt-sklearnAutomates search for optimal parameters in machine learning algorithms.1,594
mljs/kernelA factory for creating kernel functions used in machine learning algorithms1
johnstonskj/rml-coreA Racket module for managing machine learning datasets and providing interfaces to various classification algorithms.13
maciejkula/rustlearnA Rust machine learning crate providing algorithms and utilities for building and training machine learning models.626
google-deepmind/kfac-jaxLibrary providing an implementation of the K-FAC optimizer and curvature estimator for second-order optimization in neural networks.252