TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

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.

The fastai deep learning library

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

100-Days-Of-ML-Code中文版

This repository contains the source code for the paper First Order Motion Model for Image Animation

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Collection of useful data science topics along with articles, videos, and code

Machine Learning University: Accelerated Natural Language Processing Class

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…

Repository for the free online book Machine Learning from Scratch (link below!)

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

This repository contains mini projects in machine learning with notebook files

GPU Development in Python 101 tutorial

Code material for a data science tutorial

a collection of different Exploratory Data Analysis Aproaches

It contains all pdf of ml algorithm

A case study on Pfam dataset to classify protein families.