Displaying 1 to 20 from 55 results

Awesome-CV - :page_facing_up: Awesome CV is LaTeX template for your outstanding job application

  •    TeX

Awesome CV is LaTeX template for a CV(Curriculum Vitae), Résumé or Cover Letter inspired by Fancy CV. It is easy to customize your own template, especially since it is really written by a clean, semantic markup. Please help keep this project alive! Donations are welcome and will go towards further development of this project.

HackMyResume - Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon

  •    Javascript

Create polished résumés and CVs in multiple formats from your command line or shell. Author in clean Markdown and JSON, export to Word, HTML, PDF, LaTeX, plain text, and other arbitrary formats. Fight the power, save trees. Compatible with FRESH and JRS resumes. HackMyResume is built with Node.js and runs on recent versions of OS X, Linux, or Windows. View the FAQ.

Jalpc - 🍎Jalpc -- A flexible Jekyll theme, 3 steps to build your website.

  •    CSS

This is a simple, beautiful and swift theme for Jekyll. It's mobile first, fluidly responsive, and delightfully lightweight. If you're completely new to Jekyll, I recommend checking out the documentation at http://jekyllrb.com or there's a tutorial by Smashing Magazine.




best-resume-ever - :necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS

  •    Vue

If you do not have installed node.js in your machine then go to this link in order to install node. best-resume-ever requires at least node v.8.5.0.

opencv4nodejs - Asynchronous OpenCV 3

  •    C++

By its nature, JavaScript lacks the performance to implement Computer Vision tasks efficiently. Therefore this package brings the performance of the native OpenCV library to your Node.js application. This project targets OpenCV 3 and provides an asynchronous as well as an synchronous API. The ultimate goal of this project is to provide a comprehensive collection of Node.js bindings to the API of OpenCV and the OpenCV-contrib modules. An overview of available bindings can be found in the API Documentation. Furthermore, contribution is highly appreciated. If you want to get involved you can have a look at the contribution guide.

uda - Unsupervised Data Augmentation (UDA)

  •    Python

Unsupervised Data Augmentation or UDA is a semi-supervised learning method which achieves state-of-the-art results on a wide variety of language and vision tasks. With only 20 labeled examples, UDA outperforms the previous state-of-the-art on IMDb trained on 25,000 labeled examples.


Hub - Fastest dataset optimization and management for machine and deep learning

  •    Python

Note: the translations of this document may not be up-to-date. For the latest version, please check the README in English. Software 2.0 needs Data 2.0, and Hub delivers it. Most of the time Data Scientists/ML researchers work on data management and preprocessing instead of training models. With Hub, we are fixing this. We store your (even petabyte-scale) datasets as single numpy-like array on the cloud, so you can seamlessly access and work with it from any machine. Hub makes any data type (images, text files, audio, or video) stored in cloud usable as fast as if it were stored on premise. With same dataset view, your team can always be in sync.

knockknock - 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  •    Python

A small library to get a notification when your training is complete or when it crashes during the process with two additional lines of code. When training deep learning models, it is common to use early stopping. Apart from a rough estimate, it is difficult to predict when the training will finish. Thus, it can be interesting to set up automatic notifications for your training. It is also interesting to be notified when your training crashes in the middle of the process for unexpected reasons.

markdown-resume-js - Turn a simple markdown document into a resume in HTML and PDF

  •    CSS

Turn a simple markdown document into a resume in HTML and PDF.The generated files will be put in the same directory as your source file.

fresh-resume-schema - A rational schema for your résumé or CV.

  •    Javascript

A rational schema for your résumé or CV. Based on FRESH. The FRESH résumé schema is an open source, standards-friendly, JSON/YAML-driven format for résumé / CVs and other employment artifacts.

markdown-cv - a simple template to write your CV in a readable markdown file and use CSS to publish/print it

  •    CSS

A curriculum vitae maintained in plain text and rendered to html and pdf using CSS. For more details see the project page or the blog post on why I switched to markdown for my CV.

FaceLight - Simple Silverlight Face Detection

  •    Silverlight

FaceLight is a simple facial recognition method that can be used with Silverlight 's webcam. It searches for a certain sized skin color region in a snapshot to find the face.

open_quadtree_mapping - This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

  •    Cuda

This is a monocular dense mapping system following the IROS 2018 paper Quadtree-accelerated Real-time Monocular Dense Mapping, Kaixuan Wang, Wenchao Ding, Shaojie Shen. Red line is the camera trajectory.

matchengine-tools - Tools for interacting with TinEye's MatchEngine service.

  •    Javascript

Tools for interacting with TinEye's MatchEngine service. These tools were created to support bulk generation of the image similarity data that MatchEngine produces. This is far from the most common use case for the service but is one which works well for the analysis of art. (If you're looking for a more generic MatchEngine library, I can recommend the following, which these tools use.) More information about the project in which this was used, and this paticular implementation can be found in the following paper. In short, following the details laid out in the implementation overview, the data is generated through two steps.

node-matchengine - Node module for using the TinEye MatchEngine API.

  •    Javascript

Node module for using the TinEye MatchEngine API. You should end up with a file with an ID of: "sample/test.jpg" in the MatchEngine index.

node-pastec - Node module for using a Pastec server.

  •    Javascript

Node module for interacting with a Pastec server. You should end up with a file with an ID of: 1234 in the Pastec index.

profile-pic - Create cover and profile pictures with face centered and uniform expected sizes

  •    Javascript

Create cover and profile pictures with face centered and uniform expected sizes. It gets an input image and outputs three images: a cover image centered with specified size in landscape and portrait, and a profile picture with square ratio centered in bigest detected human face.

d3-cv.js - Render your CV with some d3 goodies.

  •    Javascript

Render your CV with some d3 goodies.






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