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stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

super-uefiinsecureboot-disk

Super UEFIinSecureBoot Disk: Boot any OS or .efi file without disabling UEFI Secure Boot

superset

Apache Superset is a Data Visualization and Data Exploration Platform

suse-ama-bot

This is a slack chatbot trying to answer the queries which are repeative in #amasession channel.

suse-cloud-native-foundations-scholarship

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

system_info

Portable App for System Management and to collect System Properties

tableau-public-vizzes

Code to extract data about all your vizzes on Tableau Public

tabpy

Execute Python code on the fly and display results in Tableau visualizations:

tafakharany

tashkeela-model

This is a diacritization model for Arabic language. This model was built/trained using the Tashkeela: the Arabic diacritization corpus on Kaggle

task_adaptation

teaching

Teaching Materials for Dr. Waleed A. Yousef

tech-interview-handbook

💯 Curated interview preparation materials for busy engineers

technical-resources

:books: :alarm_clock: Best repository of Technical Resources

telegram

Telegram for Android source

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-docker

The docker file for running TensorFlow on Docker Swarm

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-from-basics-to-mastery--coursera-specialization

This repo contains my solution to the "TensorFlow From Basics to Mastery" specialization on Coursera made by Andrew Ng. and Laurence Moroney

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

terraform-provider-aws

Terraform AWS provider

test-a-perceptual-phenomenon

Udacity Data Analyst Nanodegree Project 5 - Test a Perceptual Phenomenon using Python

text-generator--tensorflow

Tensorflow and LSTM network

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

the-android-app-market-on-google-play

Project Description Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this project, you will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. You'll look for insights in the data to devise strategies to drive growth and retention. The data for this project was scraped from the Google Play website. While there are many popular datasets for Apple App Store, there aren't many for Google Play apps, which is partially due to the increased difficulty in scraping the latter as compared to the former. The data files are as follows: apps.csv: contains all the details of the apps on Google Play. These are the features that describe an app. user_reviews.csv: contains 100 reviews for each app, most helpful first. The text in each review has been pre-processed, passed through a sentiment analyzer engine and tagged with its sentiment score.Project Tasks 1. Google Play Store apps and reviews 2. Data cleaning 3. Correcting data types 4. Exploring app categories 5. Distribution of app ratings 6. Size and price of an app 7. Relation between app category and app price 8. Filter out "junk" apps 9. Popularity of paid apps vs free apps 10. Sentiment analysis of user reviews

the-free-hive-book

A free electronic book about Apache Hive. The book is geared towards SQL-knowledgeable business users with some advanced tips for devops.

the-mammoth-encyclopedia-of-