Discovering Interpretable GAN Controls [NeurIPS 2020]

自然语言处理NLP在中文文本上的一些应用，如文本分类、情感分析、命名实体识别等

Book sample (AI Machine-learning Deep-learning)

Breast Cancer Classification using CNN and transfer learning

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

Gamified tutorial for the QISKit quantum SDK

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

A collection of code examples as well as presentations for training purposes

Course materials for: Introduction to Data Science and Programming

Automagically remove trends from time-series data

100+ python programming exercise problem discussed ,explained and solved in different ways

Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.

Koç University deep learning framework.

Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science

Videos of deep learning optimizers moving on 3D problem-landscapes

机器学习实战