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distributed_tensorflow_a_gentle_introduction

Jupyter notebook running through some basic examples of Distributed TensorFlow

ease

EASE (Enhanced AI Scoring Engine) is a library that allows for machine learning based classification of textual content. This is useful for tasks such as scoring student essays.

ecorcia

EcorcIA, une application mobile pour téléphone intelligent Android réalisé dans le cadre du cours VIARENA

ecorcia_web

EcorcIA Web, un serveur d'inférences en ligne, avec TensorFlow Serving, Docker et Flask

em-explanation

Notebooks explaining the intuition behind the Expectation Maximisation algorithm

entailment-with-tensorflow

Accompanying notebook for the Entailment with Tensorflow article.

eodms-ogc-client-py

evolution_covid19

Petit exercice IPython d'exploration, de visualisation et de prédiction simple de l'évolution temporelle de la pandémie du COVID-19. ---------------- Small exercise of data exploration, visualization and prediction of the evolution over time of the COVID-19 pandemic.

evolutionmve

Minimum viable experiments using Reinforcement Learning QLearning and evolution strategy to play catch - by Eder Santana http://edersantana.github.io - Small corrections and addition of iPython Notebooks by Claude COULOMBE - PhD candidate - TÉLUQ / UQAM - Montréal

fairness-in-ml

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

fastai

The fast.ai deep learning library, lessons, and tutorials

frenchleffflemmatizer

A French Lemmatizer in Python based on the LEFFF

gbc_book_deeplearningbook

A repository that contains companion Python code and comments to the GBC (Goodfellow, Bengio, Courville) Deep Learning Book. And a blog post on Medium.com:

geo-deep-learning

Deep learning applied to georeferenced datasets

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hmc

Python Module for decision tree based hierarchical multi-classification

jppt-0

JPPT-0: Je n'ai Pas PéTé mon budget calcul! Génération de textes à zéro dollar de calcul... - Un petit générateur de textes en français basé sur un modèle de langue (i.e. un modèle de prédiction du prochain mot) à base de ngrammes et d'une chaîne de Markov.

kaggle-right-whale

2nd place solution to the Kaggle Right Whale challenge

keras

Deep Learning for humans

keras-spatial

Provides a SpatialDataGenerator class for accessing spatial data.

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

keras_anomaly_detection

CNN based autoencoder combined with kernel density estimation for colour image anomaly detection / novelty detection. Built using Tensforflow 2.0 and Keras

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

llm-finetuning-scripts

Copie ds scripts de peaufinage de GML

lstm-char-cnn

LSTM language model with CNN over characters

lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

ml-class

Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras

ml-misc

Misc code snippets for Jupyter/Cloud Datalab

monte-carlo-tree-search

Monte carlo tree search in python