Showing 1-20 of 36 projects
Local autonomous AI agent for coding, web browsing, and task planning
BillionMail provides an open-source, self-hosted MailServer, NewsLetter, and Email Marketing platform for developers.
This is a free 4-month course to learn machine learning engineering, covering deployment, Docker, FastAPI, and more.
A powerful JavaScript calendar library with a wide range of features for frontend development.
Automated cloud cost estimation for Terraform in Go.
A curated list of papers and resources focused on 3D Gaussian Splatting, a technique used in neural rendering.
This repository provides a comprehensive tutorial series for learning machine learning in 3 months.
An open-source, portable, and flexible TLS library with a reference implementation of the PSA Cryptography API.
Production-ready templates to quickly ship AI agents to Google Cloud with built-in CI/CD, evaluation, and observability.
A highly customizable calendar view and compose library for Android and Kotlin Multiplatform.
A powerful and customizable React calendar component for building date-focused applications.
Secure, scalable AI-powered search and retrieval platform for enterprise knowledge across 100+ apps.
This is a curriculum for learning data science in 3 months, created by Siraj Raval on YouTube.
A sample full-stack application built with Node, React, React Native, and GraphQL for a subscription-based clothing service.
A free API toolkit for businesses, creators, and developers to streamline advanced media processing, including video editing, image transformations, and Python code execution.
This repository contains interactive coding tutorials and exercises used by universities and students around the world.
This GitHub repository is a comprehensive tutorial for learning machine learning in just two months, featuring Jupyter Notebooks and covering essential ML concepts.
This repository contains sample Power BI Desktop files for the monthly Power BI release.
A 6-month data science roadmap for developers who want to become data scientists.
This is a curriculum for learning computer science in 5 months, focused on building a strong foundation.
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