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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
10 Weeks, 20 Lessons, Data Science for All!
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.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
โ๏ธ DEPRECATED โ See https://github.com/ageron/handson-ml3 instead.
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
100-Days-Of-ML-Codeไธญๆ็
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filteโฆ
A collection of various deep learning architectures, models, and tips
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: ๐บ๐ธ ๐จ๐ณ ๐ฏ๐ต ๐ฎ๐น ๐ฐ๐ท ๐ท๐บ ๐ง๐ท ๐ช๐ธ
One has no future if one couldn't teach themself.
Natural Language Processing Tutorial for Deep Learning Researchers
Your new Mentor for Data Science E-Learning.
Companion webpage to the book "Mathematics For Machine Learning"
FinRL: Financial Reinforcement Learning. ๐ฅ
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Code release for NeRF (Neural Radiance Fields)
YSDA course in Natural Language Processing
Best Practices, code samples, and documentation for Computer Vision.
๐ฆ LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Python training for business analysts and traders
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)