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2017-104hackathon-recommendation

104Hackathon Job Matching Recommendation

3i026-intelligence-artificielle-et-data-science

aact

Improving Public Access to Aggregate Content of ClinicalTrials.gov

aact-1

aact-sample-graphs

Example graphs of interventional trials in ClinicalTrials.gov 2008-2017

adanet

Fast and flexible AutoML with learning guarantees.

adock-api

API of A Dock

advent2017

advent of code 2017

advent2018

solutions for advent of code 2018

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

alffa_public

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

analyse-r

Introduction à l'analyse d'enquêtes avec R et RStudio

androidtutorials

The repository contains tutorials for android as individual projects

anintroductiontodeeplearning

Code and accompanying data used in my book "An Introduction to Deep Learning"

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

api-particulier

Simplifiez les démarches de vos usagers, ne demandez plus de justificatifs

api-sdk-python

Particeep API Client for Python

apitaxi

Le.Taxi: France Taxis Exchange Point

arae

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

audio_signal_processing

Audio or speech signal processing guide.

autokeras

Accessible AutoML for deep learning.

autotl

Automatic transfer learning for short text mining

awesome-podcasts

Collection of awesome podcasts

azure-quickstart-templates

Azure Quickstart Templates

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

beta.gouv.fr

Le site public de l'Incubateur de Services Numériques de l'État français.

book-api

Book API demonstrates the RESTful web services using Spring MVC. Book API performs all the CRUD operations. User can create a book, read a single book, update a book and delete a book. To communicate with database we will use Hibernate which is our ORM framework and MySQL is the database to store the records.

book-api-spring-boot

Book API demonstrates the RESTful web services using Spring Boot and JPA. Book API uses the MySQL database to store the records. User can perform all the CRUD operations against the database.

book-management-system

The application demonstrates the CRUD (Create, Read, Update and Delete) operations which is done using Spring Boot, Hibernate, JSP and MySQL. On the landing page of the application displaying all the records in HTML table, user can insert/create the book, update the book, delete the book.