A collection of learning resources for curious software engineers
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A collection of learning resources for curious software engineers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TranslatedMachine learning tutorials
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
15 motion design styles, each made by Claude Opus 5.5 writing code from one prompt: watch the films, copy the prompts, read the full source.
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
Evidence archive for Jesus of Nazareth: research dossier (PDF), New Testament, gnostic and extracanonical gospels, church fathers, ancient witnesses, Roman legal documents, archaeology, and all 238 cited references — searchable reader at https://sybil-solutions.github.io/all-historical-evidence-of-jesus-christ/
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
Noise Correction Algorithm for sCMOS cameras
Update a pinned gist to contain your PlayStation stats
A structured, AI-assisted toolkit for defining hardware products that have software inside — from concept through engineering spec to presentation-ready materials in eight phases.
Update a pinned gist to contain your Nintendo Switch stats
Update a pinned gist to contain the top skills practiced on leetcode.