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lining0806/PythonSpiderNotes

A Python-based web scraping library that provides code examples and techniques for various web scraping tasks.

7.4K
Archived
Python
Backend Frameworks
CLI Tools
Python
#web-scraping#python#tutorials

NirDiamant/Prompt_Engineering

Comprehensive tutorials and implementations for Prompt Engineering techniques, essential for mastering AI LLM interactions.

7.2K
Active
Jupyter Notebook
Prompt Engineering
LLM Frameworks
Jupyter Notebook
#ai#llm#prompt-engineering

afshinea/stanford-cs-230-deep-learning

A collection of cheatsheets for the Stanford CS 230 Deep Learning course, covering key concepts and techniques.

6.9K
Archived
ML Ops
Cheatsheets
#deep-learning#convolutional-neural-networks#recurrent-neural-networks

hijkzzz/Awesome-LLM-Strawberry

A curated collection of LLM papers, blogs, and projects, focused on OpenAI o1 and reasoning techniques.

6.9K
Stable
LLM Frameworks
Tutorials & Courses
#llm#openai-o1#reasoning

ayoubfaouzi/al-khaser

A library that helps detect various malware analysis techniques used in the wild.

6.9K
Active
C++
Security Research
CLI Tools
#anti-analysis#anti-debugging#anti-disassembly

infoslack/awesome-web-hacking

This repository is a comprehensive list of web application security resources, tools, and techniques.

6.8K
Active
Security Research
Penetration Testing
#appsec#hacking#security

awesome-NeRF/awesome-NeRF

A curated list of papers and resources on neural radiance fields (NeRF), a powerful technique for 3D scene representation.

6.8K
Archived
TeX
Computer Vision
Frontend Frameworks
#nerf#3d-rendering#computer-vision

daffainfo/AllAboutBugBounty

A comprehensive resource for bug bounty hunters, covering payloads, bypasses, and other security techniques.

6.7K
Archived
Security Research
Penetration Testing
#bug-bounty#hacking#infosec

fool2fish/dragon-book-exercise-answers

This repository contains exercise answers for the Compilers Principles, Techniques, & Tools (purple dragon book) second edition.

6.6K
Archived
HTML
Books & Guides
#compilers#exercises#dragon-book

nswbmw/node-in-debugging

A comprehensive guide to debugging Node.js applications, covering various techniques and tools.

6.5K
Archived
Debugging
API Frameworks
Node.js
#debug#debugging#node.js

google/automl

Google Brain's AutoML is a library for building and deploying custom AI models using state-of-the-art computer vision techniques.

6.5K
Experimental
Jupyter Notebook
Computer Vision
ML Ops
Jupyter Notebook
#automl#computer-vision#machine-learning

RPISEC/MBE

This repository contains course materials for learning modern binary exploitation techniques.

5.9K
Archived
C
Security Research
Learning & Education
#ctf#exploitation#wargame

fastruby/fast-ruby

A collection of common Ruby idioms and performance optimization techniques.

5.7K
Stable
Ruby
Benchmark & Profiling
Backend Frameworks
Ruby
#ruby#performance-optimization#benchmarking

fastai/courses

A collection of Jupyter Notebook-based courses for learning AI and machine learning tools and techniques.

5.7K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
Jupyter Notebook
#ai#machine-learning#education

PyPortfolio/PyPortfolioOpt

A Python library for financial portfolio optimization, including classical efficient frontier and advanced techniques.

5.5K
Stable
Jupyter Notebook
Caching
Backend Frameworks
#finance#investing#portfolio-optimization

MicheleBertoli/css-in-js

A React library that compares different CSS-in-JS techniques for building component-based UIs.

5.5K
Archived
JavaScript
Component Libraries (React)
Documentation
React
#css-in-js#react#ui-components

adbar/trafilatura

Gathers text and metadata from the web using crawling, scraping, and extraction techniques.

5.4K
Stable
Python
React
#web-scraping#text-extraction#metadata-gathering

zhaoxin94/awesome-domain-adaptation

A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.

5.4K
Stable
ML Ops
Tutorials & Courses
#domain-adaptation#transfer-learning#machine-learning

tkipf/pygcn

PyTorch implementation of Graph Convolutional Networks, a powerful machine learning technique for graph data.

5.4K
Archived
Python
ML Ops
API Frameworks
PyTorch
#graph-neural-networks#graph-convolutional-networks#machine-learning

fpereiro/backendlore

A collection of backend development best practices and techniques by the author.

5.4K
Experimental
API Frameworks
Cheatsheets
Node
#backend-development#best-practices#cheatsheet
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