Jaakko Lukkari (orktes)

orktes

Geek Repo

Company:Noice Entertainment

Location:Helsinki, Finland

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Organizations
Everyplay

Jaakko Lukkari's repositories

atom-react

ReactJS Support for atom (syntax, snippets)

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go-torch

LibTorch (PyTorch) bindings for Golang

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go-alexa-smarthome

Handler for alexa smarthome v3 directives for golang

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go-vowpal-wabbit

Vowpal Wabbit bindings for Golang

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orlang

My toy programming language, parser and compiler to play around with different ideas for a perfect (IMO) language

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influunt

Dataflow programming for Golang and Python

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go-tensorboard

go-tensorboard implements a dynamic tensorboard backend in golang

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huealexa

Fake hue server (for using with Amazon echo and Apple HomeKit) scriptable with javascript (written in golang)

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mongache

Golang implementation of the mongodb server protocol. Useful for creating read only endpoints that used the mongodb wire protocol.

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go-blob-filesystem

http.FileSystem implementation that can use any *gocloud.dev/blob.Bucket as the source for the data

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homeautomation

* to MQTT bridge and trigger processor with Alexa Smarthome support

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protoc-gen-fastergrpc

Package implements a protobuf generator that generates a memory optimized version of the grpc service

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documentation

📚 Documentation for GameCI open source projects

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go-dra

Library for controlling the denon dra-100 amp

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go-lambda-mqtt

Publish lambda request to mqtt and wait for response

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go-memstore

Memory storage build on radix trees

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go-percentile

Percentile calculator

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goja

ECMAScript 5.1(+) implementation written in Go

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gojs-tool

A tool for you to load natvie module in your vm like otto and goja

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homeautomation-homekit

Bridges homeautomation mqtt protocol and apple homekit

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protoc-gen-tools

General purpose tools for creating protoc generators

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react-codemod

React codemod scripts

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ruuvitag

Collect data from a ruuvitag BLE sensor and chart it in a dashboard

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samples

A repo containing samples tied to new functionality in each release of Google Chrome.

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vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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