Stars
Fully featured framework for fast, easy and documented API development with Flask
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,…
Row-oriented workflows in R with the tidyverse
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Enhancing {ggplot2} plots with statistical analysis 📊📣
Virtual File System for Git: Enable Git at Enterprise Scale
An R-focused pipeline toolkit for reproducibility and high-performance computing
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors
This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to …
A dplyr backend that partitions a data frame over multiple processes
An R package collecting functions for wind resource assessment
nmrML is an open mark-up language for NMR data. This is the official repository for development of the nmrML schema and NMR ontology.
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction