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.

A collection of various deep learning architectures, models, and tips

Practice your pandas skills!

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A repo for data science related questions and answers

Notebooks about Bayesian methods for machine learning

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

NLP model implementations with keras for beginner

Examples for Clarifai Python SDK and Integrations. Give the repo a star ⭐