Bridging Data Science Tools with PyTorch-Ignite’s Code-Generator and Nebari To the readers, I am Aryan Gupta( @guptaaryan16), an EE Junior at IIT Roorkee, and this summer, I had a chance to work on PyTorch-Ignite’s Code-Generator project, a tailor-made web application to help machine learning researchers and enthusiasts and also keeping in mind the growing Kaggle community. Crossposted from https://labs.quansight.org/blog The project itself Let’s see the project itself ..read more

Hey, I’m Sangho Lee, a master’s student from Seoul National University. I have participated in the project internship at Quansight Labs, working on test code improvements and features for distributed computations ..read more

Throughout this tutorial, we will introduce the basic concepts of PyTorch-Ignite with the training and evaluation of a MNIST classifier as a beginner application case. We also assume that the reader is familiar with PyTorch ..read more

, we are excited to announce the new release of the web application for generating PyTorch-Ignite’s training pipelines. This blog post is an overview of the key features and updates of the ..read more

that supports different platforms, hardware configurations (GPUs, TPUs) and communication frameworks is tedious. In this blog, we will discuss how solves this problem with minimal code change ..read more

In addition to the original tutorial, this notebook will use in-built GAN based metric in for more details about the implementation of the metrics in Most of the code here is from to evaluate Frechet Inception Distnace and Inception Score and showcase other metric based features in ..read more