ahirvoas Goto Github PK
Name: Adrien Hirvoas
Type: User
Company: France Energies Marines
Bio: R&D Engineer at France Energies Marines
Location: BREST
Name: Adrien Hirvoas
Type: User
Company: France Energies Marines
Bio: R&D Engineer at France Energies Marines
Location: BREST
¡AnDA! is a Python library for the Analog Data Assimilation.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Notebooks related to Bayesian methods for machine learning
Course on data assimilation (DA)
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
Gaussian processes in TensorFlow
Gaussian processes framework in python
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A repo contains the implementation codes and assignments for Hugo Larochelle's Neural Network Course. http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html
15MW reference wind turbine repository developed in conjunction with IEA Wind
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Missing data visualization module for Python.
Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.
Uncertainty treatment library
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
python wrapper for MAP
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
The "Python Machine Learning" book code repository and info resource
pyTurbSim is a turbulence simulation tool for HydroKinetic (tidal, river and ocean-current) turbine device design tools (e.g. NWTC's FAST). It is also an effective development platform for new TurbSim spectral models.
scikit-learn: machine learning in Python
A stochastic, full-field, turbulence simulator
Work done at the H2O Open Tour NYC 2016 Hackathon, and later refinements
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.