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A latent text-to-image diffusion model
12 Lessons to Get Started Building AI Agents
Learn how to develop, deploy and iterate on production-grade ML applications.
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Google Research
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
The fastai book, published as Jupyter Notebooks
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A collection of various deep learning architectures, models, and tips
Recipes for using Python's pandas library
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Code for Tensorflow Machine Learning Cookbook
Simple tutorials using Google's TensorFlow Framework
Repo for the Deep Learning Nanodegree Foundations program.
Content for Udacity's Machine Learning curriculum
Jupyter notebooks from the scikit-learn video series
A crash course in six episodes for software developers who want to become machine learning practitioners.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
A repo for data science related questions and answers
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Codes to complement YouTube videos and blog posts on Medium.
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data