Machine Learning Pipelines for Kubeflow.
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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.
Energy-based machine learning models built upon PyTorch.
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Lightly is a computer vision framework for self-supervised learning.
Explaining the predictions of any machine learning classifier.
A comprehensive toolkit to build Machine Learning applications with Rust.
Linux Gaming Wiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Linux Hardening provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Roadmap.sh guide outlining Linux learning paths, topics, commands, and administration skills.
Build, train, and ship custom machine learning models using an easy visual interface.
LVRA Wiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Class on machine w/ PDF, lectures, code.
Machine Learning library for the web, Node.js and developers.
Machine learning for language toolkit.
A model-agnostic visual debugging tool for machine learning.
A Julia package for manifold learning and nonlinear dimensionality reduction.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
A blog about open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
A platform for deploying and serving machine learning models.
Flexible Deep Learning Framework in Julia.