OMOTO Tsukasa

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

github-notifier just gets GitHub's Notifications and sends them to OS X's Notification Center.

Collaborative Denoising Auto-Encoder (CDAE)

pytest plugin to run pycodestyle

pytest plugin to run pydocstyle

Agent Check to get metrics from NVIDIA Management Library (NVML)

a photo frame app written in Swift

No description.

local-notes.js allows you to view local notes in Markdwon on your browser.

Latent Dirichlet allocation(LDA) and Hierarchical Dirichlet process - Latent Dirichlet allocation(HDP-LDA)

No description.

Build scripts for GCC

Adding advanced and experimental features to Keras

Model Compression CLI Tool for Keras.

This is the docker for LightGBM CI

Pretty, minimal and fast ZSH prompt

Python client for Jenkins (sync + async)

Asynchronous HTTP client/server framework for asyncio and Python

The world’s fastest framework for building websites.

:trophy: A markdown parser written in Go. Easy to extend, standard(CommonMark) compliant, well structured.

Notifier images for Cloud Build, complete with build status filtering and Google Secret Manager integration

Retrying library for Python

A hyperparameter optimization framework

Get up and running with Jenkins on Google Kubernetes Engine

An authentication handler for using Kerberos with Python Requests.

Vim vixen

Jinja2 support for sanic

🍻 Default formulae for the missing package manager for macOS

CUDA miner project, compatible with most nvidia cards

Equihash miner for NiceHash

No description.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Output split array plugin for fluentd

No description.

Library for factorization machines

Japanese translation of the Keras documentation

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

A flexible framework of neural networks for deep learning

netkeiba.comをスクレイピングして、競馬予測の素性を作成する。

No description.

:beer: The missing package manager for OS X.

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