Showing 41-60 of 433 projects
A Python-based web scraping library that provides code examples and techniques for various web scraping tasks.
Comprehensive tutorials and implementations for Prompt Engineering techniques, essential for mastering AI LLM interactions.
A collection of cheatsheets for the Stanford CS 230 Deep Learning course, covering key concepts and techniques.
A curated collection of LLM papers, blogs, and projects, focused on OpenAI o1 and reasoning techniques.
A library that helps detect various malware analysis techniques used in the wild.
This repository is a comprehensive list of web application security resources, tools, and techniques.
A curated list of papers and resources on neural radiance fields (NeRF), a powerful technique for 3D scene representation.
A comprehensive resource for bug bounty hunters, covering payloads, bypasses, and other security techniques.
This repository contains exercise answers for the Compilers Principles, Techniques, & Tools (purple dragon book) second edition.
A comprehensive guide to debugging Node.js applications, covering various techniques and tools.
Google Brain's AutoML is a library for building and deploying custom AI models using state-of-the-art computer vision techniques.
This repository contains course materials for learning modern binary exploitation techniques.
A collection of common Ruby idioms and performance optimization techniques.
A collection of Jupyter Notebook-based courses for learning AI and machine learning tools and techniques.
A Python library for financial portfolio optimization, including classical efficient frontier and advanced techniques.
A React library that compares different CSS-in-JS techniques for building component-based UIs.
Gathers text and metadata from the web using crawling, scraping, and extraction techniques.
A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.
PyTorch implementation of Graph Convolutional Networks, a powerful machine learning technique for graph data.
A collection of backend development best practices and techniques by the author.
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