Cleaning Libraries

cleanlab is: cleanlab supports Linux, macOS, and Windows and runs on Python 3.7+. cleanlab can find label issues from any model's predicted class probabilities if you can produce them yourself. This …

Trafilatura consistently outperforms other open-source libraries in text extraction benchmarks, showcasing its efficiency and accuracy in extracting web content. The extractor tries to strike a balan…

Currently, you can use DataPrep to: DataPrep.EDA is the fastest and the easiest EDA (Exploratory Data Analysis) tool in Python. It allows you to understand a Pandas/Dask DataFrame with a few lines of…

First, clone the repository and submodules: Now you have all the dependencies necessary to follow along with the chapters in the book. You don’t need to worry about any other installations. Any feedb…

Use Encord Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for re-labeling and more! Encord Active helps you under…

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data v…

This repository is containing portfolio of data science and data analyst projects completed by me (and sometimes with my team) for academic, self learning, and hobby purposes. Presented in the form o…

While the platform offers a high-level overview and visualization of your data, the SDK affords you the flexibility to integrate into your favorite machine learning frameworks and environments (e.g. …