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TranslatedA comprehensive Chinese-language collection of Python resources, including: web frameworks, web crawlers, template engines, databases, data visualization, image processing, and more. Maintained and updated by the WeChat official account teams of 「开源前哨」 (Open Source Sentinel) and 「Python开发者」 (Python Developers).
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python best practices guidebook, written for humans.
100+ Python challenging programming exercises
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
TranslatedPython tutorial for beginners
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Translated🔥🔥Over 1,000 classic computer science books, personal notes, and the resources mentioned in articles I have published on various platforms, etc. The book resources include C/C++, Java, Python, Go, data structures and algorithms, operating systems, backend architecture, computer systems knowledge, databases, computer networks, design patterns, frontend, assembly, and all kinds of interview experience write-ups for campus recruitment and experienced-hire recruitment~
A list of developer portfolios for your inspiration
deep learning for image processing including classification and object-detection etc.
Translated⚡️ IPTV live source auto-update tool: automatically collects, validates, speed-tests, and generates playable results. Supports M3U/TXT/API output, custom channels, IPv4/IPv6, Docker, GitHub Actions, and multi-platform deployment via CLI and GUI
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Minimal examples of data structures and algorithms in Python
The fastai book, published as Jupyter Notebooks
Neural Networks: Zero to Hero
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media