📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- applied-machine-learning
- production
- applied-data-science
- machine-learning
47,133 repositories indexed
217–240 of 3,309 · Most stars
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A list of AI autonomous agents
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
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).
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.
A playbook for systematically maximizing the performance of deep learning models.
TranslatedA collection of resources related to live streaming sources 📺 💯 IPTV, M3U — wash your hands often, wear a mask, and may everyone be immune to every poison
A collection of tips to help take your CSS skills pro. 🕹
:memo: An awesome Data Science repository to learn and apply for real world problems.
A simple guide to HTML <head> elements
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!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
⛔️ 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
500 Lines or Less
If you want to become good at AI engineering & system design, join this newsletter 👇
A set of best practices for JavaScript projects