Showing 261-280 of 1,244 projects
Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration platform for cloud-native development
A fully functional self-contained code syntax highlighter developed in JavaScript.
A collection of personal notes and summaries on the DeepLearning.ai specialization courses for developers interested in deep learning.
This repository contains interview preparation materials for developers, including interview questions and solutions.
An open-source, extensible PaaS platform for deploying and managing containerized applications.
This GitHub repository contains a DUI configuration for the foobar2000 media player.
Open Source Cloud Native Application Protection Platform (CNAPP) for securing cloud-native applications
This is a repository for a Machine Learning session, potentially containing code examples and tutorials.
A Go utility to simplify running applications in Docker containers.
An open-source Kubernetes extension that automates management of large-scale applications on Kubernetes.
Core ML tools for converting, editing, and validating machine learning models for deployment.
This repository provides a collection of high-quality GitHub profile README templates for developers.
This read-only repository contains the FuelUX open-source UI framework, which is no longer supported by Salesforce.
LXC is a low-level container runtime that allows developers to run and manage Linux containers.
A cross-platform C library that provides a glib-like set of utility functions and data structures.
A collection of front-end web development resources for vibe coders.
A web interface for managing Docker containers, formerly known as DockerUI.
KubeOperator is an open-source lightweight Kubernetes distribution focused on helping enterprises plan, deploy, and operate production-grade K8s clusters.
A repository containing code examples from the popular Python Machine Learning book, covering topics like deep learning and scikit-learn.
Comprehensive machine learning repository with 30+ notebooks covering various ML concepts and techniques.
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