nicolaspascual Goto Github PK

awesome-first-timers

Place to contribute if you are a first timer

circleci

corona-dashboard

https://nicolaspascual.github.io/corona-dashboard/

cursoangular2

custom

test

cvolve

A job seeker assistant powered with NLP

cxmate

A RESTFUL network API proxy service for CX

django-modeltranslation

Translates Django models using a registration approach.

dog-classification

dotfiles

A set of vim, zsh, git, and tmux configuration files.

engineroom-data-sprint-notebooks

Python notebooks with examples for the ENGINEROOM data sprints in Warsaw, Nov 9th-10th 2018 and in Barcelona, February 22nd-23rd 2019.

es6-webpack-js-skeleton

Skeleton for ES6 projects with webpack, babel and ESLint

gh-actions-test

google-hashcode-2019

hackathon_2017

Repositorio de recursos para la hackathon

hug

Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.

hyper-pokemon

🌈 Tailor-made Pokémon themes for your Hyper terminal

js-kata-node

Quick start TDD kata template using Node.js

katas

Solved coding katas

kiwi-python-weekend

map-creator

map-provider-test

marriot_crawler

mercadona-scrapper

Scrapper for the web page of mercadona. It downloads all current products into a csv file

neu_genetic_path_finder

point-cloud-learn

The aim is to approach machine learning techniques that extract models for predicting temporal point clouds. We will define a model for point clouds based on shapes, topology, and sampled properties and study different machine learning approaches to predict morphological changes. The final goal of this thesis is to be applicable to real problems, such as the prediction of rock falls. We expect the proposal to help aiding humans in identifying the characteristics of the geomorphological models.

portfolio

pretrained-dogs-classification

rock-paper-scissors

A classic rock, paper and scissors game build using Javascript

saturdays-ai-exercises