Daniel Bourke

pytorch-deep-learning. Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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.

zero-to-mastery-ml. All course materials for the Zero to Mastery Machine Learning and Data Science course.

tensorflow-deep-learning. All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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

cs329s-ml-deployment-tutorial. Code and files to go along with CS329s machine learning model deployment tutorial.

m1-machine-learning-test. Code for testing various M1 Chip benchmarks with TensorFlow.

pytorch-apple-silicon. Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.

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

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

mac-ml-speed-test. A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.

nutrify. Take a photo of food and learn about it.

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

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

mrdbourke.

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

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

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

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

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

learn-ml. Website for teaching/writing/making tutorials for machine learning.

learnopencv. Learn OpenCV : C++ and Python Examples

old_blog. My dev's blog

cnn-explainer. Learning Convolutional Neural Networks with Interactive Visualization.

charlie-walks. Website code for Charlie Walks: A Novel by Daniel Bourke

fastai. The fastai deep learning library, plus lessons and tutorials

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

deep-learning. Repo for the Deep Learning Nanodegree Foundations program.

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

Sentiment-Analysis-with-Keras. Materials and code relating to Learning Intelligence 25.

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

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

vision. Datasets, Transforms and Models specific to Computer Vision

gemini-long-context-window-kaggle. Code and resources related to Google Gemini Kaggle Competition.

twitch-ml-deploy. Deploying a ML model in the browser using TensorFlow JS

pytorch-styleguide. An unofficial styleguide and best practices summary for PyTorch

pytorch-resnet-twitch. PyTorch implementation(s) of various ResNet models from Twitch streams.

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

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

udacityDLfoundationsP2. Second project of the Udacity Deep Learning Foundations Nanodegree

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

composer. Train neural networks up to 7x faster

nutrify-ai-grant-application. Nutrify application to aigrant.org

yolov5. YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

AIND-CV-FacialKeypoints. 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.

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

streamlit. Streamlit — The fastest way to build custom ML tools

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

AIND-NLP. Materials relating to the Udacity AIND NLP classes.

food-data-central-database-creation-with-supabase. JavaScript

modal-test. testing modal.com

Treehouse. Projects from my Treehouse Coursework

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

hello-world. Github practice

iOS-Retro-Calculator. Retro/Space

test-data-size-repo.

overreacted.io. Personal blog by Dan Abramov.

gatsby-starter-default. Gatsby Default Starter on Render

docs. TensorFlow documentation

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