A typeface of people sillhouettes, to make it easy to build web graphics featuring little people instead of dots.

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

Get silhouettes of organisms from Phylopic.

Playframework authentication && user management sample using: Scala, Silhouette, Vuejs

Seed Application for PlayFramework, Silhouette and ReactiveMongo

Play/slick/silhouette/jwt login combo

Silhouette is a framework agnostic authentication library for Scala that supports several authentication methods, including OAuth2, OpenID Connect, Credentials, Basic Authentication or custom authentication schemes.

Seed project for Play Framework 2.6 with Silhouette 5.0, exposing a REST API for sign-up and signin. ReactiveMongo + MongoDB used as a backing store.

Authentication & Social Graph API built on top of Redis, Neo4J and Play!

This is a seed project for a FullStack service in Scala using Play, Sangria, Scala.js, React and Apollo client.

Example BackEnd project for Play Framework that uses Silhouette for authentication and authorization, exposed REST API for sign-up, sign-in + example FrontEnd project for ReactJS+ Typescript used for handling view layer.

**Unsupervised-Learning**(with practice of PCA, ICA and Model-based Clustering)

A giter8 template for a Play Silhouette Angular Typescript application

A Question and Answer site using Scala and Play (remake of Mamute)

Minimal Working Example of Form Based Authentication Using Silhouette and Slick

A collection of Python scripts for SilhouetteFX v7+.

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

A small JS module for generating text based avatars in SVGs.

Seed project for Play Framework 2.6 with Silhouette 5.0, exposing a REST API for sign-up and signin. Slick + H2 used as a backing store.

Computational Intelligence Packages (CIP) for Mathematica

clothes research in 3D

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

A toolkit to handle handle / analyze the format of Silhouette cutting plotters. And example data files.

Problem Statement: This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form.You are owing a supermarket mall and through membership cards , you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Problem Statement You own the mall and want to understand the customers like who can be easily converge [Target Customers] so that the sense can be given to marketing team and plan the strategy accordingly.

Buckshot++ is a new algorithm that finds highly stable clusters efficiently.

Implementation of hierarchical clustering on small n-sample dataset with very high dimension. Together with the visualization results implemented in R and python

Clustering realizado para avaliar presença de morcegos com base nas características físicas de cavernas.

Social web app for finding where to eat in Riga