Breast Cancer Classification using CNN and transfer learning

Book sample (AI Machine-learning Deep-learning)

A community run, 5-day PyTorch Deep Learning Bootcamp

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

机器学习实战

A lightweight book theme built off of the pydata sphinx theme

Repository for reading Pascal VOC data in Python, rather than requiring MATLAB to read the XML files.

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.

Atom notebook

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

Automagically remove trends from time-series data

Gamified tutorial for the QISKit quantum SDK

Distributed deep learning on Hadoop and Spark clusters.

Course materials for: Introduction to Data Science and Programming

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

Place for resources used during the Mordor Detection hackathon event featuring APT29 ATT&CK evals datasets

Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

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