classicvalues Goto Github PK

04_battletank

An open-world head-to-head tank fight with simple AI, terrain, and advanced control system in Unreal 4. (ref: BT_URC) http://gdev.tv/urcgithub

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

2-factor-authentication

Google 2 Factor Authentication for Magento 2

2012-dev-summit

Information regarding the 2012 Developer Summit in DC

2015-developer-summit

a sandbox site for making mistakes

2d-extras

Fun 2D Stuff that we'd like to share!

2fa

golang flow for using google authenticator 2fa two factor auth

2fa-1

This tool is made for checking facebook two factor authentication vulnerability

2fa-util

Lightweight utility to generate a two-factor TOTP secret with QR code to be used by authenticators such as Google or Microsoft Authenticator.

2factor-authentication

A real-world two-factor authentication app that uses AWS amplify, Amazon Mobile Hub, and Amazon Cognito.

3d-hand-pose-estimation

Thesis in Ukrainian Catholic University

3d-iwgan

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

3d-recgan

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

3d-shapes

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

3dgan-release

3D Generative Adversarial Network

68k-latin-to-english

Translates any string of Ciceronian Latin into modern English

7-zip

Fork of http://7-zip.org/ with enhancements to the SFX component

77

800-63-3

Home to public development of draft Special Publication 800-63-3: Digital Authentication Guidelines

a2hs.js

📲 A useful modern JavaScript solution that helps your website users to add (install) a progressive web application (PWA) to the Home Screen of their mobile iOS devices.

a3

Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in strict semi-supervised settings. Strong anomaly detection results are achieved on common data sets surpassing current baseline methods. Our semi-supervised anomaly detection method allows to inspect large amounts of data for anomalies across various applications.

aa-client-go

Analytics API client library for Go

aa-ionic-conference-app

A conference app built with Ionic to demonstrate Ionic

aa-ionic-login

aaaaaaaa

Our staff team submission for PyWeek 31

aafdchdrivermod

Realtek Audio Driver Mods by Alan Finotty

aaosl-agda

aap-must-gather

ab-stub

abc-gan

Official repository for ABC-GAN