A curated list of awesome tools for SQLAlchemy
- python
- sqlalchemy
- rdbms
- databases
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A curated list of awesome tools for SQLAlchemy
A curated list of deep learning image classification papers and codes
🏊 Dive into ES6 and the future of JavaScript
Sample .NET Core REST API CQRS implementation with raw SQL and DDD using Clean Architecture.
Quantitative analysis, strategies and backtests
Learn to create turn-based combat with this Open Source RPG demo ⚔
Golang package that generates clean, responsive HTML e-mails for sending transactional mail
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
List of articles related to deep learning applied to music
XDP tutorial
A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
Secure boilerplate for Electron app based on Vite. TypeScript + Vue/React/Angular/Svelte/Vanilla
An Awesome List of computer history videos, documentaries and related folklore
HTML5 Security Cheatsheet - A collection of HTML5 related XSS attack vectors
❤️ Awesome Flutter Tips and Tricks ❤️
A curated list of awesome anomaly detection resources
A curated list of resources for Image and Video Deblurring
Rated, auto-refreshed list of decompiled, recompiled & reverse-engineered games: decomps, static recomps, source ports, engine remakes, browser ports.
A practical guide to building enterprise AI agents across their full lifecycle.
GitHub's Web Component collection.
Learn JavaScript by adventuring around in the terminal.
A well-structured production-ready frontend boilerplate with Typescript, React Testing Library, styled-component, React Query, .env, Axios, Bundle Analyzer, Prettier and 30+ plugins. superplate creates projects for React.js, Next.js, and refine. https://pankod.github.io/superplate/
TranslatedAndroid performance optimization tutorials, videos and tools list(Android performance optimization videos, documents and tools)
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.