👨🔬 Data Science
Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
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,…
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
PySpark test helper methods with beautiful error messages
Streamlit — A faster way to build and share data apps.
Collections of vector search related libraries, service and research papers
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Create powerful Hydra applications without the yaml files and boilerplate code.
Hydra is a framework for elegantly configuring complex applications
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
ML powered analytics engine for outlier detection and root cause analysis.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
A light-weight, flexible, and expressive statistical data testing library
Automatically visualize your pandas dataframe via a single print! 📊 💡
Extract data from a wide range of Internet sources into a pandas DataFrame.
World beating online covariance and portfolio construction.
Open-Source Information Retrieval Courses @ TU Wien
Visual Pandas Selector: Visualize and interactively select time-series data
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.