Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
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Minimal and clean examples of machine learning algorithms implementations
:octocat: git and git flow cheat sheet
Templates, algorithms and data structures implemented and collected for programming contests.
The Open Source Computer Science Degree
A Comprehensive Roadmap to Mathematics
A curated list of awesome tools for SQLAlchemy
Neural Network built in Apple Playground using Swift
End-to-end DevOps TaskFlow API — FastAPI, PostgreSQL, SQLAlchemy, Alembic, Docker Compose, Pytest and GitHub Actions CI,Kubernetes,prometheus,Grafana,helm,k9s,kompose,minikube,helmify
A project about the Swift programming language
A comprehensive guide to debugging tools for modern, complex front-end applications. This handbook provides practical, real-world guidance on a complete suite of tools, from Chrome DevTools and framework extensions to integrated IDE debuggers.
Advanced Starter GraphQL Next js Crud Mongodb
Various algorithms implementation as Swift Playground files