patrikken Goto Github PK

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

array_sorting

Implementation and comparison of the complexity of certain sorting algorithms: Merge sorting, bubble sorting, selection sorting

chat.backend

Chat App backend on Phalcon PHP

chat.frontend

Frontend of a chat app on Vue.js + TypeScript

classe-inheritance

deeprecommender

Deep learning for recommender systems

editeurcooperatifgraphic

emotion_recognition

Facial emotion recognition using Pytorch and OpenCV

fair-dsr

fairlearn

A Python package to assess and improve fairness of machine learning models.

information-retrieval

Materials for Information Retrieval and Advanced Information Retrieval courses

lff

Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)

ml-handwriting-classification

Octave programme for training and classification of hand writing digit based on neural network with 1 hidden layer

mm218.dev

morio_sokoban

SoKoban game developing in C. using SDL library inspired by open classroom course. (2015)

my-graphics

Images for presentations, papers...

my-website-

openseq2seq

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

patrikken.github.io

My web page

placeshare

Webservice to save and share user positions

preftwig2stack

Java Standalone application for querying XML documents with requests with preferences (GTPs requests with preferences)

pytorch-glow

Pytorch Implementation of OpenAI's GLOW

react-native-code-textinput

React native component for code input field

react-native-crop-image

Crop image on react native side, or server side (PHP, Java...). this module module return x, y positions and crop size useful for a backend or for cropImage function of react native

robot

rs-product-back

Simple Rest API on Node JS backend

rs-product-front

simple project on react

stacked-capsule-networks

Pytorch Implementation of the Stacked Capsule Autoencoders

variational-autoencoder

woke-client

Front-end on application