Rust本のサンプルプログラム一覧

building machine learning system

Useful Functions in BigQuery

『アジャイルサムライ』のサポートページです

Machine Learning Pipelines for Kubeflow

Arguments parser with class for Python, inspired by StructOpt

日本の祝日を取得するライブラリ

『StanとRでベイズ統計モデリング』のサポートページです.

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

『推薦システム実践入門』のリポジトリ

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A game theoretic approach to explain the output of any machine learning model.

Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A graph-based deep learning framework for life science

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

🎨 Diagram as Code for prototyping cloud system architectures

BigQuery input plugin for Embulk loads records from BigQuery

Neural Collaborative Filtering

An implementation of a deep learning recommendation model (DLRM)

Compiler for Neural Network hardware accelerators

A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

The Dusk Network enables fast, anonymous and secure bi-directional transmission of data and streaming among peers, paid for by a decentralized digital currency named DUSK

Reference implementation of the DUSK Network node, written in Golang

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.