krishachetan89

Krishna chetan's repositories

MobileApp-Pentest-Cheatsheet

The Mobile App Pentest cheat sheet was created to provide concise collection of high value information on specific mobile application penetration testing topics.

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tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

Language:JavaScriptMIT000

Simple-Calendar

A simple calendar with events, customizable widgets and no ads.

Language:KotlinApache-2.0000

fastlane-droid

An android repo that demonstrates the use of Fastlane to Automate the Android Build and Release Process

Language:Kotlin000

Android-Smart-Login

A smart way to add Login functionality to your Android app.

Language:JavaApache-2.0000

Tinder-Auto-like

Tinder : Auto Right Swipes on Android App

Language:Python000

PythonAnalytics

This is as a repository for me to keep my Kaggle and Practice with iPython Notebook

Language:Jupyter Notebook000

android-SpeedTracker

Demonstrates using built-in GPS hardware on Wear to record location and speed.

Language:JavaApache-2.0000

CinemaBuff

An app for Cinema Buffs

Language:KotlinMIT000

android-github-actions

A GitHub action to build Android projects and run UI tests

Language:DockerfileApache-2.0000

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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