jguymont Goto Github PK

datasets

Small datasets. Convenient for workshops.

derivative_generator

Experiments on using generative models to learn the joint distribution of features used to price derivative and their market price

humanware

Different convolutional neural network implementations for predicting the lenght of the house numbers in the SVHN image dataset. First part of the Humanware project in ift6759-avanced projects in ML.

ieee_fraud_detection

ift2015

Assignments and lecture notes for IFT2015 - Data Structures

ivado_workshop_intro_ml

Introduction to ML and deep learning lecture prepared for Ivado workshop on recommender systems

lesk-algorithm

Python implementation of Lesk's algorithm

mila-courses

List and description of the courses I took @ Mila

multi-document-summarizer

Simple multi-document-summarization based on Ani Nenkova and Lucy Vanderwende, 2005

numpy-multilayer-perceptron

Numpy implementation of a one hidden layer MLP

part-of-speech-tagging

Train a first-order (i.e., the probability of a tag depends only on the previous tag) HMM part-of-speech tagger. Find the MAP estimate of the parameters of the model using add-1 smoothing.

pytorch-image-classifier

resume

My latex résumé

sauce_pricer

sentiment-analysis

Train a simple classifier that classifies a sentence into either a positive or negative sentiment. These sentences come from a movie review dataset constructed by the authors of this paper: Bo Pang and Lillian Lee, Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales, Proceedings of ACL 2005.

summer_internship_2017

ubuntu_installation

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.