Python Data Science Handbook: full text in Jupyter Notebooks

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

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.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Notebooks for learning deep learning

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Create delightful software with Jupyter Notebooks

Book about interpretable machine learning

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Koç University deep learning framework.

Learn Julia via interactive tutorials!

Machine learning algorithms implemented by pure numpy

Tutorials and information on the Julia language for MIT numerical-computation courses.

A tutorial on Julia DataFrames package

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

Introduction to ML packages for the 6.86x course

18.337 - Parallel Computing and Scientific Machine Learning

Jupyter notebooks for the Julia Scientific Programming course on Coursera

Notebooks for "Probabilistic Machine Learning" book

Material for the 2021 GPU workshop at JuliaCon

Notebook for running Julia on Google Colab

An introductory 101 series to get to know the power of Julialang

Julia Tutorial for Finance and Econometrics Students

A tutorial on DataFrames.jl prepared for JuliaCon2021