Awesome Docker Compose samples

🧠 Laws, Theories, Principles and Patterns for developers and technologists.

A neural network that transforms a design mock-up into a static website.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Must-watch videos about Python

Free and Open Source Photo Libraries

Statistical Data Analysis in Python

Probabilistic Modeling Toolkit for Matlab/Octave.

A searchable compilation of Kaggle past solutions

Notes for Fastai Deep Learning Course

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

These patterns document how to apply open source principles and practices for software development within the confines of an organization - aka InnerSource.

systems is a set of tools for describing, running and visualizing systems diagrams.

A book for the coursera statistical inference class

SlowJam: latency profiler for Go programs

Collection of stories of how folks have reached Staff-plus roles in technology.

Website for Machine Learning India (ml-india). Fostering machine learning and data science ecosystem in India.

Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017

Code + Jupyter Notebooks for Visualizing Clusters of Clickbait Headlines Using Spark, Word2vec, and Plotly

Built and trained a deep neural network to classify traffic signs using Tensorflow

Flask-based web application for visualisation, exploration, and real-time concatenative sound synthesis on audio.

Introduction to testing based on Scopatz and Huff's "Effective Computation in Physics"