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followers: 8.1K following: 37.0 repos: 63.0 gists: 21.0

Name: Daniel Bourke

Type: User

Bio: Machine Learning Engineer live on YouTube.

Twitter: mrdbourke

Blog: www.mrdbourke.com

I write and make videos about machine learning, health and life.

My writing is like the voice in your head found a typewriter.

My videos are like a spartan warrior leanred to code.

I'm currently working on Nutrify an app where you can take a photo of food and learn about it.

I teach machine learning and deep learning on Zero to Mastery.

I've authored three books:

Charlie Walks - a sci-fi/romance/philosophical novel about a machine learning engineer who wants to be a writer.
learntensorflow.io - a 50,000+ word online (and free) book that teaches you TensorFlow and Deep Learning in a beginner-friendly, code-first way.
learnpytorch.io - the internet's most beginner-friendly way to learn PyTorch for deep learning.

And many people have found my posts on machine learning helpful:

Find me elsewhere online:

Web (here you can see what I'm up to now)
YouTube
Twitch
Twitter

Daniel Bourke's Projects

m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.

mac-ml-speed-test

A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.

machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

modal-test

testing modal.com

mrdbourke

nutrify

Take a photo of food and learn about it.

nutrify-ai-grant-application

Nutrify application to aigrant.org

old_blog

My dev's blog

overreacted.io

Personal blog by Dan Abramov.

python-list-comprehensions-tutorial

This is the code to go along with the Python list comprehensions video by Daniel Bourke on YouTube.

pytorch-apple-silicon

Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch-resnet-twitch

PyTorch implementation(s) of various ResNet models from Twitch streams.

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

rag-resources

A collection of curated RAG (Retrieval Augmented Generation) resources.

recipe-summarization

Sequence to sequence recipe summarization

sentiment-analysis-with-keras

Materials and code relating to Learning Intelligence 25.

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

streamlit

Streamlit — The fastest way to build custom ML tools

strftime.org

A single-serving-site that provides a reference for Python's strftime formatting options

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

test-data-size-repo

treehouse

Projects from my Treehouse Coursework

twitch-ml-deploy

Deploying a ML model in the browser using TensorFlow JS

udacity-aind

All of my files and projects associated with Term 1 of the Udacity Artificial Intelligence Nanodegree.

udacity_dlnd_projects

All of my projects from the Udacity Deep Learning Foundations Nanodegree.

udacitydlfoundationsp2

Second project of the Udacity Deep Learning Foundations Nanodegree

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

your-first-kaggle-submission

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

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