Corentin's repositories
tp-intro-mlops
Demo introduction MLOps
awesome-computer-vision
A curated list of awesome computer vision resources
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
great_expectations
Always know what to expect from your data.
tutorials
tutorials
shapash
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
sagemaker-scikit-learn-container
Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)
python-plugin-data-loader
Python plugin/extra to load data files from an external source (such as AWS S3) to a local directory
MAPIE
A scikit-learn-compatible module for estimating prediction intervals.
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
knowledge-base
The knowledge base for the lab IA of Etalab
project-template
A template for scikit-learn extensions
DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
mle-case-study
ML Engineer case study
end-user-xai
EUCA is a practical prototyping tool to design explainable AI for non-technical end-users
river
🌊 Online machine learning in Python
cicd-templates
Manage your Databricks deployments and CI with code.
alto
Explore the basics of machine learning by building your own teachable object at home.
facet
Human-explainable AI.
causalml
Uplift modeling and causal inference with machine learning algorithms
lit
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.