Name: Claude COULOMBE
Type: User
Company: linguatechnologies.com
Bio: Ph. D. / entrepreneur / AI applied consultant / machine learning, deep learning, NLP, computer vision / Python - Java - HTML5 - Linux
Location: Montréal
Blog: https://www.linkedin.com/in/claudecoulombe/
Claude COULOMBE's Projects
Adaptive Skip-gram implementation in Julia
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Agent conversationnel en français - Projet-jouet fortement inspiré du célèbre ELIZA de Joseph Weizenbaum conçu vers 1965
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Sample code for the short answer scoring contest, hosted by Kaggle
Classification of WAV files from cats and dogs
A bot tweeting nonsensical craft beer reviews via Markov chains
TensorFlow code and pre-trained models for BERT
Course materials/Homework materials for the Kadenze Academy course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%.
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
The implementation of text classification using character level convoultion neural networks using Keras
Recreating an up-to-date version of the climate temperature spirals visualization
Multi-layered CNN to recognize handwritten digits. Based on the O'Reilly Tutorial: «Building deep learning neural networks using TensorFlow layers» A step-by-step tutorial on how to use TensorFlow to build a multi-layered convolutional network by Barbara Fusinska February 14, 2018 https://www.oreilly.com/ideas/building-deep-learning-neural-networks-using-tensorflow-layers Major rework, code completion, restructuration and iPython Notebook by Claude COULOMBE - PhD candidate - TÉLUQ / UQAM - Montréal
Spelling corrector project based on Deep Learning
Petites expériences pour montrer la pêche au facteur p (p value hacking, p-hacking) inspirée par une conférence de M. Jonathan Jarry aux « Sceptiques du Québec » le 13 décembre 2019 (http://bit.ly/2Ei1WOW)
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Repo for the Deep Reinforcement Learning Nanodegree program
Deep Residual Learning for Image Recognition
A collection of various deep learning architectures, models, and tips
A replica of the AlphaZero methodology for deep reinforcement learning in Python
a Deep Learning based Speller
A Deep Learning based project for colorizing and restoring old images (and video!)
Reinforcement Learning with Goals - Small corrections and additions by Claude COULOMBE - PhD candidate - TELUQ / UQAM - Montreal