Emmanuel Bonnet's Projects
π Mastering Data Storage in Python
Practical Deep Learning on the Cloud, published by Packt
Your go-to open source repo to learn containers (Docker, Podman, etc.) and Orchestration (Kubernetes, ECS, etc.) from start to finish.
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
Bias and Fairness Audit Toolkit
π€ Assemble, configure, and deploy autonomous AI Agents in your browser.
12 Weeks, 24 Lessons, AI for All!
Utilisation de low code pour gΓ©nΓ©rer des courtes videos avec des modeles de diffusion
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples
An all in one project where supervised, unsupervised and deep learning come together to predict the price of stocks
Exercises for the book Artificial Intelligence: A Modern Approach
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
Interpretability and explainability of data and machine learning models
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A Python package for unwrapping ReLU DNNs
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Algorithms for explaining machine learning models
Tutorial and Examples Jupyter Notebooks for Altair
A sample set of notebooks demonstrating Amazon Comprehend capabilities.
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
This workshop will familiarize you with some of the key steps towards building an end-to-end predictive maintenance system leveraging Amazon SageMaker, Amazon Polly and the AWS IoT suite.
PyTorch implementation of AnimeGANv2
Use ML-FLOW and TensorFlow2.0(Keras) to record all the experiments on the Fashion MNIST dataset.
A curated list of example code to collect data from Web APIs using DataPrep.Connector.
Applied Deep Learning and Computer Vision for Self-Driving Cars, published by Packt
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.