Name: Dr. Shayan (Sean/Sansón) Taheri
Type: User
Bio: Software Engineer, Computer Scientist. American Permanent Resident. SW Consultant at HonestRank LLC. Christian Academic Education. STEM in Christian World.
Twitter: sean_taheri
Location: Erie, Pennsylvania
Blog: www.shayan-taheri.com
Dr. Shayan (Sean/Sansón) Taheri's Projects
SAS macros for statistics and graphics
A highly opinionated framework for building shiny dashboards.
An sbt plugin for adding sounds to task completions
An sbt plugin for source code statistics
An sbt plugin for generating Sublime Text projects with library dependencies sources
A sample project that shows how to write truly end-to-end tests in Scala
A generic, maven-based, scala project template
Project for James' Apache Spark with Scala course
A generic, sbt-based, scala project template
Fuzzy Logic SciKit (Toolkit for SciPy)
scikit-learn: machine learning in Python
Where we put unmerged scikit-learn contributions yet that are useful code
A conda-smithy repository for scikit-learn.
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.
Sweet, sweet, secrepo.com html.
A self-driving car simulator built with Unity
Software Engineering Principles skeleton solution files
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
Alias support for Serverless 1.x
R package to simulate and plot general experimental crosses
A very simple Salesforce.com REST API client for Python
SimpNet Paper Files (Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet)
“The best revenge is massive success.”
Deep learning, Single layer neural network using python
A lightweight sketch-based shape retrieval framework.
A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Beautiful static documentation for your API