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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Neural Networks: Zero to Hero
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Practice your pandas skills!
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…
"Deep Generative Modeling": Introductory Examples
An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.
Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.
Detecting depression using DAIC WOZ dataset
This repository contains all the basic program that are result of my experiments with various languages