Stars
Examples and guides for using the OpenAI API
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
This is a repo with links to everything you'd ever want to learn about data engineering
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
The fastai book, published as Jupyter Notebooks
Examples and guides for using the Gemini API
A collection of pre-trained, state-of-the-art models in the ONNX format
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Efficient Image Captioning code in Torch, runs on GPU
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Create delightful software with Jupyter Notebooks
The 3rd edition of course.fast.ai
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
This is my repository for Data Structures using Python
Resources for "Introduction to Deep Learning" course.
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
A delightful and complete interface to GitHub's amazing API
fast.ai early development experiments
Notebooks and examples on how to onboard and use various features of Amazon Personalize
A few notebooks about deep learning in pytorch
PyTorch and Tensorflow functional model definitions
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube