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Donders Institute & UMich
- Tübingen, Germany
- www.beingsaige.com
- @being_saige
- @[email protected]
Highlights
- Pro
Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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,…
Perform data science on data that remains in someone else's server
An open source python library for automated feature engineering
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…
Uplift modeling and causal inference with machine learning algorithms
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Cookiecutter template for a Python package.
A highly efficient implementation of Gaussian Processes in PyTorch
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
TFX is an end-to-end platform for deploying production ML pipelines
Elyra extends JupyterLab with an AI centric approach.
Statistical package in Python based on Pandas
Awesome resources on normalizing flows.
This repo contains implementation of different architectures for emotion recognition in conversations.
A Python Library for Graph Outlier Detection (Anomaly Detection)
🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics
BAyesian Model-Building Interface (Bambi) in Python.
Python package for graph statistics
Examples of programs built using Modal