lukaselmer

I love technology and building stuff. Proficient in Software Engineering, (web) apps & SPAs, HTML/JS/CSS, RoR, Flutter, NodeJS & TypeScript. Coding since '03.

Zurich

Pinned Repositories

address-extraction-openstreetmap
Extracts addresses from .pbf files to .csv files
Language:Python12 3 12
ethz-computer-graphics-brdf-2013
Computer Graphics Exercise 4 - BRDF and Procedural Textures
Language:JavaScript4 3 00
ethz-data-mining
ETH Data Mining Class
Language:Python3 5 02
ethz-web-scale-data-mining-project
ETH Zurich - Web Scale Data Processing and Mining Project
Language:HTML8 9 04
hierarchical-paragraph-vectors
Hierarchical Paragraph Vectors
Language:Python7 3 01
hsr-bachelor-thesis-videowall
Bachelor Thesis Videowall
Language:C#3 2 00
hyperwords
Fork of https://bitbucket.org/omerlevy/hyperwords
Language:Python8 3 05
type-safe-i18n
Type Safe i18n for TypeScript
Language:Ruby5 3 11
VFSPrototype
A virtual file system written in C# with .NET technologies, with versioning and historization, encryption and compression, synchronization over a WCF service, a WPF GUI (MVVM).
Language:C#9 5 112

lukaselmer's Repositories

lukaselmer/address-extraction-openstreetmap
Extracts addresses from .pbf files to .csv files
Language:Python12 3 12
lukaselmer/hyperwords
Fork of https://bitbucket.org/omerlevy/hyperwords
Language:Python8 3 05
lukaselmer/hierarchical-paragraph-vectors
Hierarchical Paragraph Vectors
Language:Python7 3 01
lukaselmer/typescript-html5-memory-game
TypeScript & HTML5 Memory: Luke's Famous Memory Game
Language:TypeScript3 3 03
lukaselmer/rust-sinatra-heroku-experiment
Using Rust in Ruby, Deployed to Heroku Using Sinatra
Language:Ruby2 3 01
lukaselmer/jumphero
A simple Jump & Run game in Ruby
Language:Ruby1 3 0
lukaselmer/angular-chart.js
Reactive, responsive, beautiful charts for AngularJS using Chart.js: http://jtblin.github.io/angular-chart.js
Language:JavaScript
lukaselmer/angular-http-auth
Language:JavaScript
lukaselmer/angular.js
HTML enhanced for web apps
Language:JavaScript
lukaselmer/DeepMind-Atari-Deep-Q-Learner
The original code from the DeepMind article + my tweaks
Language:Lua3 0
lukaselmer/devise_token_auth
Token based authentication for Rails JSON APIs. Designed to work with http://github.com/lynndylanhurley/ng-token-auth
Language:Ruby
lukaselmer/docs
Documentation for Polymer
Language:HTML
lukaselmer/eth-machine-learning-summary
Automatically exported from code.google.com/p/eth-machine-learning-summary
Language:TeX3 0
lukaselmer/eth-neurophysics-summary
Summary of a course called Neurophysics(227-1038-00L) at ETH Zürich taught by R. Hahnloser, J.-P. Pfister
Language:TeX3 0
lukaselmer/gitlab-ci
Continuous integration server for GitLab
Language:Ruby
lukaselmer/homebrew-versions
Alternate versions of Casks for homebrew-cask
Language:Ruby3 0
lukaselmer/jsdelivr
A free Open Source CDN for webmasters and developers
lukaselmer/lukaselmer.github.io
Personal website / not up to date
Language:CSS3 0
lukaselmer/query-engine
Query Engine allows you to perform advanced queries, filters, searching and paging for javascript arrays and objects as well as Backbone.js Collections
Language:CoffeeScript3 0
lukaselmer/renuo-laptop.local
Basic Mac Setup
Language:Shell
lukaselmer/rust-experiments
Rust Experiments
Language:Ruby
lukaselmer/rust-lightning-talk-rails-hoeck
Language:Ruby3 0
lukaselmer/sim-shootout
Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neighbours-intro
Language:Python3 0
lukaselmer/simple-job-runner
Job Scheduling and Result Storage
Language:Ruby3 0
lukaselmer/thumbor
thumbor is an open-source photo thumbnail service by globo.com
Language:Python
lukaselmer/typescript-babel-demo
Technical Demo of a Typescript -> Babel Pipeline
Language:HTML2 0
lukaselmer/vis-beer
VIS Beer API
Language:Python3 01
lukaselmer/vis-beer-1
VIS Beer API (the new one, started in March 2015)
Language:Python3 0
lukaselmer/word2vec
Automatically exported from code.google.com/p/word2vec
Language:C2 29
lukaselmer/word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")