Time series analysis for Rust, with bindings to Python and Javascript

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…

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

An extension for using Cursor in Visual Studio Code.

the portable Python dataframe library

The Leek group guide to data sharing

Python toolkit for quantitative finance

Classical equations and diagrams in machine learning

An object-oriented algebraic modeling language in Python for structured optimization problems.

LLM101n: Let's build a Storyteller

🎓 Path to a free self-taught education in Computer Science!

📊 Path to a free self-taught education in Data Science!

A guide for technical professionals looking to start consulting

Data pipeline with dbt, Airflow, Great Expectations

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

The world’s fastest framework for building websites.

A (concise) curated list of awesome Causal Inference resources.

A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

DoubleML - Double Machine Learning in Python

Ressources of histopathology datasets

Techniques for deep learning with satellite & aerial imagery

🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Summaries of courses in the AI Master programme at UvA

Implementation and fullstack pipeline for CheXNet classifier

The PatchCamelyon (PCam) deep learning classification benchmark.

Tensors and Dynamic neural networks in Python with strong GPU acceleration