Koa.js Crash Course - Modern & Minimalist Node.js Framework
Learn the modern, minimalist Koa.js framework for Node.js. Covers setup, routing, templates, and more in a concise 37-minute tutorial.
Responsive Landing Page Using HTML & CSS - A Little jQuery
Build a responsive landing page inspired by iTunes using HTML5, CSS3, and jQuery, focusing on layout, content, and mobile-friendly design.
Build a Responsive, Mobile First Website - HTML5 & CSS3
Learn to create a responsive, mobile-first photography website using HTML5 and CSS3. Develop skills in modern web design techniques, including smooth scrolling and hover effects.
Build a Wordpress Website in 1 Hour
Create a professional WordPress website in one hour without coding. Learn theme customization, image editing, and deployment using practical techniques for freelancers and beginners.
Gatsby JS Crash Course
Learn to build a static site and Markdown-based blog using Gatsby JS, React, and GraphQL. Create, customize, and deploy your project to Netlify in this comprehensive tutorial.
CamanJS - Build an Image Filter Web App
Learn to build a web app for uploading, editing, and downloading images using CamanJS. Create custom filters and effects on a canvas element in this hands-on tutorial.
Uploading Files to MongoDB With GridFS - Node.js App
Learn to upload and manage files in MongoDB using GridFS with Node.js. Build a practical app using Multer, GridFS storage engine, and EJS templating for efficient file handling and storage.
Context-Free Grammars
Learn about Context-Free Grammars, their role in parser and compiler design, and applications in programming languages. Gain practical advice and understand associativity concepts.
Build a LinuxFromScratch System - Building the Target-System
Construct the final Target-System, create a chroot login script, and configure essential system components like time zones and user directories.
Build a LinuxFromScratch System - Directories, Users and Groups
Learn about Unix/Linux directory structures, user management, and group configurations. Gain hands-on experience creating essential system components for a custom operating system.
Write Your Own Operating System - File Allocation Table (FAT32)
Explore file system implementation, focusing on FAT32 cluster management and abstraction techniques for extensibility to other file systems.
Write Your Own Operating System - File Allocation Table (FAT32)
Learn to implement and navigate the FAT32 file system, including directory access, file creation, and understanding key structures like clusters and sectors.
Write Your Own Operating System - GUI Framework Basics
Explore the fundamentals of creating a GUI framework for operating systems, covering widgets, mouse interactions, and graphics contexts.
Write Your Own Operating System - Mouse
Learn to implement mouse functionality in an operating system, including interrupt handling, video memory interaction, and button testing.
SPLADE - The First Search Model to Beat BM25
Explore SPLADE, a groundbreaking sparse embedding model for AI-powered search. Learn its advantages over traditional methods, implementation techniques, and potential future developments in vector search technology.
Machine Learning for Game Developers - Google I/O 2019
Explore machine learning solutions for game development, from Google-built ML models to custom AI training, addressing challenges traditional programming can't solve.
Swift for TensorFlow - Google I/O 2019
Explore Swift for TensorFlow, a platform integrating deep neural networks with traditional software development. Learn its benefits for advanced machine learning research and why fast.ai chose it for their deep learning course.
Machine Learning on Your Device - The Options
Explore TensorFlow's options for integrating machine learning into mobile apps and edge devices, from model training to deployment using TensorFlow Lite.
Swift for TensorFlow - The Next-Generation Machine Learning Framework
Explore language-integrated automatic differentiation and optimized tooling in Swift for TensorFlow, enhancing machine learning productivity and innovation.
TensorFlow for JavaScript - TensorFlow at O’Reilly AI Conference, San Francisco '18
Explore TensorFlow.js: Learn to train, deploy, and perform transfer learning in browsers and Node.js. Includes live demos and practical insights for machine learning workflows.
Distributed TensorFlow Training - Google I/O 2018
Learn to scale TensorFlow training across multiple GPUs and machines efficiently. Explore distribution strategies, performance optimization techniques, and practical implementation using Google Cloud.