JAX is a python library that is more like a toolbox for prototyping ideas. It can JIT compile your code, vectorize, compute gradients, and much more!...
This post explains how to perform deformable image registration using deep neural networks.
Intrigued by few-shot learning? Always wanted to use state-of-the-art algorithms for your project, but never knew where to start? We got you.
Here is how you can teach your model to learn quickly from a few examples.
An introduction to interpretability methods to ease neural network training monitoring.
This guide shows how to use NER tagging with NLTK and Standford NER tagger (Python).
Why Docker is the best platform to use Tensorflow with a GPU.
How evolution taught us the “genetic algorithm”.
How to profile your python code to improve performance
My favorite research articles from NeurIPS (previously NIPS) 2018.
This tutorial details Naive Bayes classifier algorithm, its principle, pros & cons, and provides an example using the Sklearn python Library.
In this tutorial, I will explain how to get started with test writing for your Spark project.