Yannick Martel's repositories

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vue-authentication-example

This repo aims to answer how to handle authentication in your vue app.

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Spikes

My spikes

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vue-authenticate

Simple Vue.js authentication library

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Sparkov_Data_Generation

Synthetic Credit Card Transaction Generator used in the Sparkov program.

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tidy_covid19

Some R code to tidy Johns Hopkins University CSSE Covid-19 data and to merge it with ACAPS government measures and World Bank data

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Vue-Facebook-Google-oAuth

SignIn or Signup with Facebook and Google using Vue without any external packages

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AIX360

Interpretability and explainability of data and machine learning models

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sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

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shapr

Explaining the output of machine learning models with more accurately estimated Shapley values

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credit_card_fraud_detection

Credit_Card_Fraud_Detection

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venmo-data

Venmo trasaction dataset for data analysis/visualization/anything

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interpret

Fit interpretable models. Explain blackbox machine learning.

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xrf

eXtreme RuleFit (sparse linear models on XGBoost ensembles)

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VINE

VINE: Visualizing Statistical Interaction Effects in Black Box Models

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kubeflow-for-poets

Kubeflow for Poets: A Guide to Containerization of the Machine Learning Production Pipeline

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shap-values

Shap values for model interpretation

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p2p-lending-data

Source code used to create an ML-ready creditworthiness dataset

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rulefit

Python implementation of the rulefit algorithm

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fast_knn_gpu

Tensorflow and Theano implementations of fast K-nearest neighbour search on GPU. ~3000x faster than sklearn KNeighborsClassifier!

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time-series-classification

Classifying time series using feature extraction

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mlflow-sample

MLFlow Tracking Sample

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empirical-bayes-book

Introduction to Empirical Bayes: Examples from Baseball Statistics

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focus-budget-manager

Budget Manager application built with Vue.js, Node.js, Express.js and MongoDB

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

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benchmarks

Comparison tool

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mli-resources

Machine Learning Interpretability Resources

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Adversarial_Autoencoder

A wizard's guide to Adversarial Autoencoders

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