A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
- machine-learning
- mlops
- interpretability
- explainability
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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
VIP cheatsheets for Stanford's CS 229 Machine Learning
Contains Company Wise Questions sorted based on Frequency and all time
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
Machine Learning Engineering Open Book
Setup instructions for Le Wagon's students on their first day of AI Software Development Bootcamp
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
A curated list of awesome applications, softwares, tools and shiny things for macOS.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
List of useful Quick Look plugins for developers
TranslatedHow programmers can elegantly earn pocket money, version 2.0, upgraded into a small book. Most of this not work outside China , so no English translate
A book for Learning the Foundations of LLMs
TranslatedQuestions to ask the interviewer at the end of a technical interview
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Everything you need to prepare for your technical interview
TranslatedThe Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English version for more insights.
A collection of full time roles in SWE, Quant, and PM for new grads.
FastAPI Best Practices and Conventions we used at our startup
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
💿 Free software that works great, and also happens to be open-source Python.
A collection of ZSH frameworks, plugins, themes and tutorials.