ml-fitbit

A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.

the portable Python dataframe library

Simple and Distributed Machine Learning

Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

Visualize and compare datasets, target values and associations, with one line of code.

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

Implementing best practices for PySpark ETL jobs and applications.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A curated list of awesome Apache Spark packages and resources.