Examples and guides for using the OpenAI API

Learn how to design, develop, deploy and iterate on production-grade ML applications.

This repository contains implementations and illustrative code to accompany DeepMind publications

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

The 3rd edition of course.fast.ai

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

Precision Medicine Knowledge Graph (PrimeKG)

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

Swift for TensorFlow's high-level API, modeled after fastai

Amazon Textract Code Samples

A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.

This repo contains tutorials and demos for learning how to use cadCAD. [task: replace this readme with a real one]

Reading history for Fair ML Reading Group in Melbourne