LLM101n: Let's build a Storyteller

Companion webpage to the book "Mathematics For Machine Learning"

Examples and guides for using the OpenAI API

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.

ZenML 🙏: The bridge between ML and Ops. https://zenml.io.

WIP: Roadmap to becoming a machine learning engineer in 2020

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

A Julia machine learning framework

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Vim notebook cell bindings for JupyterLab

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.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.