Few-Shot Image Classification with Meta-Learning
Here is how you can teach your model to learn quickly from a few examples.
Etienne
Introducing tf-explain, Interpretability for TensorFlow 2.0
A Tensorflow 2.0 library for deep learning model interpretability.
Raphaël
Data Scientist
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Determine Your Network Hyper-parameters With Bayesian Optimization
Why and how Bayesian Optimization can be used for hyper-parameters tuning
Julie
Data Scientist
Best Open Source Annotation Tools for Computer Vision
A Top 5 labeling tools to create Computer Vision datasets.
Laurent
Data Scientist
Interpretability of Deep Learning Models with Tensorflow 2.0
An introduction to interpretability methods to ease neural network training monitoring.
Raphaël
Data Scientist
Few-Shot Image Classification with Meta-Learning
Here is how you can teach your model to learn quickly from a few examples.
Etienne
Image Registration: From SIFT to Deep Learning
How the field has evolved from OpenCV to Neural Networks.
Basics in R Programming
You are about to begin a project on R? Before you watch any tutorial, read these basic standards.
Alexandre
Data Scientist
How To Build A Successful AI PoC
Turn Your Artificial Intelligence Ideas Into Working Software
Arnault
Data Scientist
Edge Detection in Opencv 4.0, A 15 Minutes Tutorial
This tutorial will teach you, with examples, two OpenCV techniques in python to deal with edge detection.
Dan
Data Scientist
Set up TensorFlow with Docker + GPU in Minutes
Why Docker is the best platform to use Tensorflow with a GPU.
Reda
Data Scientist
Naive Bayes Classification With Sklearn
This tutorial details Naive Bayes classifier algorithm, its principle, pros & cons, and provides an example using the Sklearn python Library.
Martin
How Does Your Computer Generate Random Numbers?
What you should know about numpy and pseudo random number generators (PRNG).
Tanguy
Data Scientist
Get Started with PySpark and Jupyter Notebook in 3 Minutes
Spark is a fast and powerful framework.
Charles Bochet
Data Scientist
Learn to Test Your Pyspark Project with Pytest — example-based Tutorial
In this tutorial, I will explain how to get started with test writing for your Spark project.
Irina
Data Scientist
How to Perform Fraud Detection with Personalized Page Rank
This article shows how to perform fraud detection with Graph Analysis.
Antoine
Data Scientist
NeurIPS (prev. NIPS) Papers Selection
My favorite research articles from NeurIPS (previously NIPS) 2018.
Félix
Data Scientist
Introduction to Deep Q-learning with SynapticJS & ConvNetJS
An application to the Connect 4 game.
Alexandre
Data Scientist
Python: How to Train your Own Model with NLTK and Stanford NER Tagger? (for English, French, German…)
This guide shows how to use NER tagging for English and non-English languages with NLTK and Standford NER tagger (Python). You can also use it to improve the Stanford NER Tagger.
Charles Bochet
Data Scientist
GAN with Keras: Application to Image Deblurring
A Generative Adversarial Networks tutorial applied to Image Deblurring with the Keras library.
Raphaël
Data Scientist
Speedup Your R Code with RStudio in AWS
What if AWS could save you days without changing your usual workflow?
Clément
Data Scientist
Set up TensorFlow with Docker + GPU in Minutes
Why Docker is the best platform to use Tensorflow with a GPU.
Reda
Data Scientist
Keras Tutorial: Content Based Image Retrieval Using a Denoising Autoencoder
How to find similar images thanks to Convolutional Denoising Autoencoder.
Adil
Data Scientist
Surgical Time Tracking in Python
How to profile your python code to improve performance
Antoine
Head of Science
Was Darwin a Great Computer Scientist?
How evolution taught us the “genetic algorithm”.
Louis
Data Scientist
Fast Custom KNN in Sklearn Using Cython
Let’s dive into how you can implement a fast custom KNN in Scikit-learn.
Reda
Data Scientist
