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Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20 Oct, 2025
A simple guide to HTML <head> elements
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
:books: Learn to write an embedded OS in Rust :crab:
TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning
:metal: awesome-semantic-segmentation
TranslatedA Chinese-language guide to teaching C++ Templates. Unlike the well-known book C++ Templates, this tutorial series teaches C++ Templates as a Turing-complete language, in order to help readers thoroughly master Meta-Programming. (Under construction)
A list of web application security
Best practices for segmentation of the corporate network of any company
A basic 3D scene implemented with various engines, frameworks or APIs.
Awesome & Marvelous Amas
Descriptions of C++17 features, presented mostly in "Tony Tables" (hey, the name wasn't my idea)
:speech_balloon: A curated list of gaming talks (development, design, etc)
🎯 A comprehensive gradient-free optimization framework written in Python
Curated (meta)list of resources for Biology.
JavaScript ES(6|2015) generators workshopper. Learn in practice. :metal:
A curated list of awesome JSON Schema resources, tutorials, tools, and more
Ada Bare Bones OS development tutorial source code
String metrics and phonetic algorithms for Elixir (e.g. Dice/Sorensen, Hamming, Jaccard, Jaro, Jaro-Winkler, Levenshtein, Metaphone, N-Gram, NYSIIS, Overlap, Ratcliff/Obershelp, Refined NYSIIS, Refined Soundex, Soundex, Weighted Levenshtein)
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
A Python framework that uses machine learning algorithms to implement the metadata recovery attack against obfuscated programs.