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Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A repo for data science related questions and answers
Master programming by recreating your favorite technologies from scratch.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Applied Probability Theory for Everyone
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Curated list of project-based tutorials
All Algorithms implemented in Python
An API for working with flying objects, simulated, unidentified, and otherwise.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Companion repository for the book Building Machine Learning Powered Applications
The fastai book, published as Jupyter Notebooks
A tutorial for creating a complete application using Node.js on Google Cloud Platform
Hands-On Machine Learning Using Amazon SageMaker [video], published by Packt
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.
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Natural Language Processing Best Practices & Examples
A collection of various deep learning architectures, models, and tips