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
Crafting adversarial images
Learning Deep Features for Discriminative Localization (2016)
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A lightweight pix2pix Tensorflow implementation.
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorial for Time Series Prediction
VGG19 and VGG16 on Tensorflow
Collection of TensorFlow Examples
Deep Learning and Reinforcement Learning Library for Scientists
The new Windows Terminal, and the original Windows console host -- all in the same place!
The flexible HTTP client library for Elixir, with support for middleware and multiple adapters.
Test repository for introducing Git to CMSC 128 (Introduction to Software Engineering) students
A sample MySQL database with an integrated test suite, used to test your applications and database servers
Common statistical tests are linear models (or: how to teach stats)
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
CNN visualization tool in TensorFlow
Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
Exercises for my tutorials on Theano
Timer Heads Up Display. Keep track of what I'm working on, right now, and how long I have been working on it.
A Slurm SPANK plugin to handle online node reconfiguration for TiCrypt
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
The Tidynomicon: A Brief Introduction to R for Python Programmers
Official repo for the #tidytuesday project
Rails app to help users track personal time usage.
Analyze RAW images from a timelapse, and auto - ramp the exposure for manual changes of camera settings. The best way to achieve amazing results in difficult lighting.
The tiny neural network library