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Name: Andrea Agostinelli
Type: User
Company: @ La Banque Postale
Bio: PhD in Physics, Senior Data Scientist @ La Banque Postale, Paris, France
Location: Paris
Name: Andrea Agostinelli
Type: User
Company: @ La Banque Postale
Bio: PhD in Physics, Senior Data Scientist @ La Banque Postale, Paris, France
Location: Paris
Ressources pour l'évènement AI clinique: Prototypage et déploiment Web App IA avec Streamlit
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
An analysis of cycling counts in Auckland in relation to the weather
A curated list of amazingly awesome Git tools, resources and shiny things
Awesome curated RSS feed links related to Machine Learning, Artificial Intelligence, Reinforcement Learning
A Baby Robot's Guide to Reinforcement Learning
TensorFlow code and pre-trained models for BERT
Toy project for the clustering of geo coordinates with HSDBC
AWS Certified Solutions Architect - Associate
Deep Learning for Coders, 2020, the website
Deep Learning Specialization by Andrew Ng on Coursera.
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
A library for efficient similarity search and clustering of dense vectors.
Generate fake data for Scala and Spark :tophat:
The fastai book, published as Jupyter Notebooks
Library for fast text representation and classification.
🧢 La gazette du logiciel libre dans/pour l'administration
This is a tutorial for generating word embedding with genism word2vec model
Plotting data on google maps, the easy (stupid) way.
Code for the paper "Jukebox: A Generative Model for Music"
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.
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Jupyter Notebook + Python code of twitter sentiment analysis
ML-Ensemble – high performance ensemble learning
Models and examples built with TensorFlow
mpi4py examples
The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
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.