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Theodore Meynard's Projects

aeropy icon aeropy

Python interface for XFOIL. THe objective of this library is to be able to be able to call XFOIL from Python iteratively for any simulation in a total of 4 lines total.

ddataflow icon ddataflow

A tool to help you to test and develop pyspark code with sampled and local data

equation_evaluation icon equation_evaluation

The goal of this repository is to try to use tensorflow deepl learning to evaluate simple equation.

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mlflow-training icon mlflow-training

The purpose of the tutorial is to give a taste of the ML development process with MLflow. It is intended in providing a breadth rather than depth introduction but will give the audience a hands-on experience allowing them to dive into the specific submodules.

pytanis icon pytanis

Utilities for the program organization of conferences using Pretalx

robocars icon robocars

Code for the robocars competion from Deep Berlin

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

xfoil-optimization-toolbox icon xfoil-optimization-toolbox

The Python XFOIL optimization toolbox can be used to optimize airfoils for a specific operating range, and might be useful to you for its XFOIL communication module, airfoil parametrizations, and optimization algorithms, i.e. all you need to do funky stuff with 2D airfoils.

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