Steven Ma's Projects
The Stanford's Machine Learning Course gave me a solid mathematical foundation for Machine Learning! Here's my problem set solutions for the course.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
All Algorithms implemented in Python
oop training course exercises
A framework for building native apps with React.
Responsive Web Design with HTML5 and CSS, Third Edition, published by Packt
Source code for Django for APIs
scikit-learn: machine learning in Python
My clone repository
Home for example code from Spring in Action 5.
VIP cheatsheets for Stanford's CS 230 Deep Learning
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Config files for my GitHub profile.
Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.
An Open Source Machine Learning Framework for Everyone
Source code of the examples in the book "The Python Craftsman: Best Practices and Techniques by Example"
Image Super-Resolution for Anime-Style Art
A beginner friendly Django project
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent