Stars
The SPARC Framework is a comprehensive methodology designed to guide the development of robust and scalable applications. SPARC stands for Specification, Pseudocode, Architecture, Refinement, and C…
Adds middleware to your express app to serve the Swagger UI bound to your Swagger document. This acts as living documentation for your API hosted from within your app.
Google's Engineering Practices documentation
Bayesian Modeling and Probabilistic Programming in Python
Simulate the NCAA tournament based on a kaggle-format bracket (with predictions for every possible matchup)
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
A WebGL accelerated JavaScript library for training and deploying ML models.
Lightweight controller library for JavaScript.
A library that provides an embeddable, persistent key-value store for fast storage.
🗂 The perfect Front-End Checklist for modern websites and meticulous developers
Background workers that use AWS SQS as their work queue
Template Language for SQL with Automatic Bind Parameter Extraction
Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.
Simple blockchain server written in Haskell for educational purposes
Python package for Bayesian Machine Learning with scikit-learn API
Simulations for my blog post, as well as some helper functions for R users and Python users.
Understanding A/B testing through Monte Carlo simulation
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A one pager for emojis on Campfire and GitHub
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
HomeKit support for the impatient.
Force-directed graph layout using velocity Verlet integration.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.