A practical feature engineering handbook

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

Progressive training of GANs with Mutual Information Penalty

北京邮电大学“网络搜索原理”课程资料(2019)

复杂网络研究资源整理和基础知识学习

努力成为一名合格有水平的AI算法工程师

Deep learning course CE7454, 2019

quizzes/assignments for mathematics for machine learning specialization on coursera

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

Azure Machine Learning Lab Notebooks

COMS W4995 Applied Machine Learning - Spring 20

Yolov5 real time smoke detection system

Utilities for preprocessing text for deep learning with Keras

Deep learning infrastructure for bioinformatics

Material for the tutorial: "Deep Diving into GANs: from theory to production"

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.