Stars
building machine learning system
Machine Learning Pipelines for Kubeflow
Arguments parser with class for Python, inspired by StructOpt
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
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)
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.