Stars
A collection of design patterns/idioms in Python
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Notes from books and other interesting things that I've read. Table of contents at the end 👇
An enterprise-class UI design language and React UI library
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Hopsworks - Data-Intensive AI platform with a Feature Store
[DEPRECATED] Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
moDel Agnostic Language for Exploration and eXplanation
Simple express file upload middleware that wraps around busboy
A curated list of awesome data labeling tools
A topic-centric list of HQ open datasets.
A web application for data exploration, machine learning and statistical analysis, model construction and meta analysis tools, that integrates with data repositories including Dataverse.
MLBox is a powerful Automated Machine Learning python library.
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
A modern flexible step wizard component built for React.
Beautiful and accessible drag and drop for lists with React
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Collection of transforms for the Apache beam python SDK.
SQL reporting that Just Works. Fast, simple, and confusion-free. Write and share queries in a delightful SQL editor, with AI assistance.
A game theoretic approach to explain the output of any machine learning model.
Implements the Karnin-Lang-Liberty (KLL) algorithm in python
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.