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Name: Pierre-Antoine Ksinant
Type: User
Bio: Applied Mathematics: Mainly Machine Learning & Deep Learning but... Quantum Computing is on its way!
Location: Nantes, France
Name: Pierre-Antoine Ksinant
Type: User
Bio: Applied Mathematics: Mainly Machine Learning & Deep Learning but... Quantum Computing is on its way!
Location: Nantes, France
The goal of this project is to study a challenge proposed through Kaggle by Airbnb in 2016, with the aim to help the company to predict where a new user will book his first travel experience.
The goal of this project is to study a challenge proposed through Kaggle by ASHRAE in 2019, with the aim to develop accurate models of metered building energy usage in the following areas: chilled water, electricity, hot water, and steam meters.
The goal of this project is to build a simple neural network from scratch to predict daily bike rental ridership.
The goal of this project is to build a machine learning model, using unsupervised learning, to create customer segments in a dataset belonging to a wholesale distributor.
The goal of this project is to build a "very special" dog breed classifier thanks to deep learning.
The goal of this project is to build a machine learning model able to help CharityML (a fictitious charity organization) identify people most likely to donate to its cause.
The goal of this project is to build, through Streamlit, a flowers taxonomic classification web app, mobilizing a deep learning approach supported by PyTorch.
This repository contains the answers I provided during the IBM Quantum Challenge that took place between May 4, 2020 and May 8, 2020, and was organized by IBM to celebrate the fourth anniversary of IBM Quantum Experience.
The goal of this project is to build a machine learning model able to predict homes prices in the Boston area, based on an existing 1979 archive dataset.
The goal of this project is to build a realistic face generator, thanks to a generative adversarial network.
The goal of this project is to build a TV script generator based on the American television sitcom Seinfeld, thanks to a recurrent neural network.
The goal of this project is to build a sentiment analysis web app for movie reviews, based on existing IMDb reviews dataset, thanks to AWS SageMaker.
The goal of this project is to study a challenge proposed through Kaggle by Severstal in 2019, with the aim to develop a deep learning model able to detect defects on flat steel sheets, which are key elements the company works on. Particularly, in this projet, to tackle the problem, Detectron2 and TorchServe frameworks were mobilized.
The goal of this project is to teach a quadcopter how to fly thanks to reinforcement learning.
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.