🎬 A curated list of movies every hacker & cyberpunk must watch.
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🎬 A curated list of movies every hacker & cyberpunk must watch.
Writing a sqlite clone from scratch in C
The repository host gives no description.
code for Data Science From Scratch book
Common used path planning algorithms with animations.
👀 Train a 65M-parameter VLM from scratch in just 2h!
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)
JavaScript talks you have to see 👀 on functional programming, performance, frameworks, React, debugging, leveling up, and more!
NYU Deep Learning Spring 2020
Notes on books I read, talks I watch, articles I study, and papers I love
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
Learn AI and LLMs from scratch using free resources
TranslatedQuestions and answers for a Java developer interview
Discover best root apps, Magisk, KernelSu & LSPosed(xposed) modules & rooting guides
Implement a reasoning LLM in PyTorch from scratch, step by step
You don't need an animation library to add a simple effect to your SwiftUI app. Create it yourself with SwiftUI. This repo inspires you to add helpful and expressive SwiftUI animations like loading/progress, looping, on-off, enter, exit, fade, spin, and background animations to your next project. The repo also contains tremendous spring animations.
Video+code lecture on building nanoGPT from scratch
:school_satchel: :rocket: :tada: A list of interview questions. This repository is everything you need to prepare for your technical interview.
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)
CSS talks you have to see covering CSS Grid, flexbox, custom variables, performance, frameworks, tooling, and more! 📺
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.