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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
Your new Mentor for Data Science E-Learning.
Kubernetes community content
This repository contains demos I made with the Transformers library by HuggingFace.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Best Practices, code samples, and documentation for Computer Vision.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Collection of useful notebooks and snippets
Some ipython notebooks implementing AI algorithms
[Book-2021] Practical MLOps O'Reilly Book
Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
Advanced Platform Development with Kubernetes Book Source ISBN 978-1-4842-5610-7 Apress; 1st ed. edition (September 2020)
This demo repository illustrates how to use Python to scrape news articles from Google based on a given keyword. The scraped articles are then processed by Azure OpenAI Service (AOAI)'s GPT-3 model…
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link