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nitish-raj
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Open Food Facts database, API server and web interface - 🐪🦋 Perl, CSS and JS coders welcome 😊 For helping in Python, see Robotoff or taxonomy-editor
ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
sqlfmt formats your dbt SQL files so you don't have to
This is a template you can use for your next data engineering portfolio project.
A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects
The best place to learn data engineering. Built and maintained by the data engineering community.
📄 Awesome CV is LaTeX template for your outstanding job application
⚡ A Fast, Extensible Progress Bar for Python and CLI
Port(ish) of Great Expectations to dbt test macros
📺 Discover the latest machine learning / AI courses on YouTube.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
The Web framework for perfectionists with deadlines.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
🏆 Add dynamically generated GitHub Stat Trophies on your readme
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
A book series (2 published editions) on the JS language.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
📚 Freely available programming books
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Approaching (Almost) Any Machine Learning Problem
