Daniel Bourke

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

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

All course materials for the Zero to Mastery Machine Learning and Data Science course.

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

Take a photo of food and learn about it.

Code and files to go along with CS329s machine learning model deployment tutorial.

Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

Code for testing various M1 Chip benchmarks with TensorFlow.

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

Repo designed to help learn the Hugging Face ecosystem (transformers, datasets, accelerate + more).

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

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

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Sunny is an app designed to help people keep track of their skin lesions. The goal is to encourage people to check their skin regularly for potential skin cancers.

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

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Machine Learning powered app to decide whether a photo is food or not.

Work in progress. Simple repository to learn Transformers (and transformers).

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

:books: List of awesome university courses for learning Computer Science!

Comparing different GPUs on various common ML and AI tasks.

Website for teaching/writing/making tutorials for machine learning.

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

Learn OpenCV : C++ and Python Examples

My dev's blog

Learning Convolutional Neural Networks with Interactive Visualization.

The fastai deep learning library, plus lessons and tutorials

Website code for Charlie Walks: A Novel by Daniel Bourke

All of the exercises from the Learn Python the Hard Way book from Zed Shaw.

Repo for the Deep Learning Nanodegree Foundations program.

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

Materials and code relating to Learning Intelligence 25.

Code relating to the Coursera Bioinformatics Specialization as well as my own genetic algorithm experiment.

The code and other files related to the Udacity Artificial Intelligence Nanodegree Machine Translation project.

Datasets, Transforms and Models specific to Computer Vision

Code and resources related to Google Gemini Kaggle Competition.

Deploying a ML model in the browser using TensorFlow JS

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

An unofficial styleguide and best practices summary for PyTorch

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

Code and other files related to the Udacity Artificial Intelligence Nanodegree Deep Neural Network Speech Recognizer.

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

Nutrify application to aigrant.org

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Train neural networks up to 7x faster

AIND, computer vision capstone project. This repo contains starting code and my implementation of additional code for an end-to-end facial keypoint recognition system that relies on a combination of computer vision and deep learning techniques.

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

Second project of the Udacity Deep Learning Foundations Nanodegree

(CVPR 2025 highlight✨) Official repository of paper "LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models"

Streamlit — The fastest way to build custom ML tools

Simple HTML search bar to search through a JavaScript array of JSON.

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Materials relating to the Udacity AIND NLP classes.

SteerViT is a framework that equips any ViT with the ability to steer both its global and local visual representations with natural language.

LAVIS - A One-stop Library for Language-Vision Intelligence

Schedule-Free Optimization in PyTorch

testing modal.com

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

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Projects from my Treehouse Coursework

Github practice

Sequence to sequence recipe summarization

Materials for talk on Small Language Models at Queensland AI in March 2026.

🚀⚡️ Blazing fast blog built with Gatsby and Cosmic JS 🔥

TensorFlow documentation

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Mapping a variable-length sentence to a fixed-length vector using BERT model

Personal blog by Dan Abramov.

Gatsby Default Starter on Render

A collection of small corpuses of interesting data for the creation of bots and similar stuff.

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Retro/Space

Basic-iOS-app

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Testing quarto publishing system for websites.