A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Directory
Search results
Published directory entries matching your search.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Kernel density estimators for Julia.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine Learning Toolkit for Kubernetes.
Machine Learning Pipelines for Kubeflow.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Energy-based machine learning models built upon PyTorch.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.