A quick reference cheat sheet for common, high level topics in Swift.
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A quick reference cheat sheet for common, high level topics in Swift.
Examples and experiments around ML for upcoming Coding Train videos
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
A list of recommended research papers and other readings on data visualization
An overview of Elm syntax and features
🔧 A curated list of awesome dataset tools
8,000+ Claude Code mods, with what each one can access before you install it. Context and usage meters, prompt cache warmers, status lines, guards and more, with install hints.
Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
😎 face releated algorithm, dataset and paper
A curated list of courses, online judges, visualizations, books and competitions for learning and practicing algorithms. English and Korean.
:white_check_mark: Validate links in awesome projects
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Exemplary real world app built with Rust + Yew + WebAssembly, by Function Components + Hooks, also supports desktop by Tauri.
DDD-CqRS sample v2.0 project that helps you with starting out advanced domain modeling using Spring, JPA and testing
Sample applications built using AWS' Amazon Machine Learning.
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An awesome R-shiny list!
C++ implementation of a fast hash map and hash set using hopscotch hashing
Papers, code and datasets about deep learning and multi-modal learning for video analysis
List of awesome iOS & Swift stuff!!
The ESP32-S3 bench guide as a React app: live pinout, lessons with interactive simulators, a code reader for the esp-labs firmware, and the bench log. In 11 languages.
CLRS study. Codes are written with golang.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning