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
Do's and Don'ts for Android development, by Futurice developers
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
TranslatedA repository covering six columns: Spring Boot 2.X, Spring Cloud, Spring Cloud Alibaba, Dubbo, distributed message queues, and distributed transactions. I hope you will give it a quick tap and click Star in the upper right corner. Thank you, 1024
Setup instructions for Le Wagon's students on their first day of AI Software Development Bootcamp
A collection of Flutter examples and demos
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
A collection of algorithms and data structures
Jargon from the functional programming world in simple terms!
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
A collection of full time roles in SWE, Quant, and PM for new grads.
FastAPI Best Practices and Conventions we used at our startup
Algorithms and Data Structures implemented in Go for beginners, following best practices.
💿 Free software that works great, and also happens to be open-source Python.
A collection of ZSH frameworks, plugins, themes and tutorials.
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
An interactive cheatsheet tool for the command-line
The Uber Go Style Guide.
Optimizing compiler for React
A collection of various deep learning architectures, models, and tips
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
A collection of hacking / penetration testing resources to make you better!
✨ React patterns, techniques, tips and tricks ✨
A curated list of practical Codex skills for automating workflows across the Codex CLI and API.