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Michael Marien's Projects

deepchecks icon deepchecks

Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

dowhy icon dowhy

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 graphical models and potential outcomes frameworks.

duckling icon duckling

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

flaml icon flaml

A fast library for AutoML and tuning.

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

mlflow icon mlflow

Open source platform for the machine learning lifecycle

numpy icon numpy

The fundamental package for scientific computing with Python.

pomegranate icon pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

rasa icon rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

scipy icon scipy

Scipy library main repository

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

tensornetwork icon tensornetwork

A library for easy and efficient manipulation of tensor networks.

vumps icon vumps

Implementation of the variational uniform matrix product states algorithm.

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