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ai-clinique

Ressources pour l'évènement AI clinique: Prototypage et déploiment Web App IA avec Streamlit

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

auckland_cycling

An analysis of cycling counts in Auckland in relation to the weather

awesome-git

A curated list of amazingly awesome Git tools, resources and shiny things

awesome_ml_ai_rss_feed

Awesome curated RSS feed links related to Machine Learning, Artificial Intelligence, Reinforcement Learning

babyrobot

A Baby Robot's Guide to Reinforcement Learning

bert

TensorFlow code and pre-trained models for BERT

citybike_example

Toy project for the clustering of geo coordinates with HSDBC

course-certified-solutions-architect-associate

AWS Certified Solutions Architect - Associate

course20

Deep Learning for Coders, 2020, the website

course_aws_certified_machine_learning

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

faiss

A library for efficient similarity search and clustering of dense vectors.

faker

Generate fake data for Scala and Spark :tophat:

fastbook

The fastai book, published as Jupyter Notebooks

fasttext

Library for fast text representation and classification.

gazette-bluehats

🧢 La gazette du logiciel libre dans/pour l'administration

genism-word2vec

This is a tutorial for generating word embedding with genism word2vec model

gmplot

Plotting data on google maps, the easy (stupid) way.

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

kalman-and-bayesian-filters-in-python

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.

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

melusine

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

ml-twitter-sentiment-analysis

Jupyter Notebook + Python code of twitter sentiment analysis

mlens

ML-Ensemble – high performance ensemble learning

models

Models and examples built with TensorFlow

mpi4py-examples

mpi4py examples

multifit

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761