📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- applied-machine-learning
- production
- applied-data-science
- machine-learning
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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A collection of tips to help take your CSS skills pro. 🕹
A simple guide to HTML <head> elements
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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.
If you want to become good at AI engineering & system design, join this newsletter 👇
🎨 A curated list of delightful VS Code packages and resources.
:snowman: Possibly the smallest compiler ever
Notes of the book System Desgin Interview - An Insider's Guide
Extensive Open-Source Guides for Android Developers
Curated list of Go design patterns, recipes and idioms
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 ;)
Learn Low Level Design (LLD) and prepare for interviews using free resources.
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Useful resources for creating apps with Electron [SUBMISSIONS ARE TEMPORARILY PAUSED BECAUSE I'M TIRED OF REVIEWING LOW-QUALITY STUFF]
👨🎓 Java Core Sprout : basic, concurrent, algorithm
deep learning for image processing including classification and object-detection etc.
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.