Comparing PyTorch and JAX
In this article, we look at PyTorch and JAX to compare and contrast their capabilities for developing Deep Learning models on Paperspace.
a year ago
PyTorch
PyTorch: The Ultimate Tool for Computer Vision Experts
In this article, we provide a beginners introduction to using PyTorch to make custom Computer Vision code in Paperspace.
2 years ago
Automatic Mixed Precision Using PyTorch
In this overview of Automatic Mixed Precision (AMP) training with PyTorch, we demonstrate how the technique works, walking step-by-step through the process of integrating AMP in code, and discuss more advanced applications of AMP techniques with code scaffolds to integrate your own code.
3 years ago
PyTorch Lightning on Paperspace
In this blogpost, we discuss the benefits and utilities of using PyTorch Lightning with Gradient Notebooks to optimize and simplify deep learning code, as well as extend the capabilities of Torch beyond the scope of the original package.
By
Nick Ball
Text2Emoji Predictor with Stacked Embeddings using Flair framework
In this blog, we show how to build an emoji suggestion system for short sentences rather than just a single word, and integrate it with a Flask interface.
3 years ago
Image segmentation
In this article, we will define image segmentation, discover the right metrics to use in these tasks, build an end-to-end pipeline that can be used as a template for handling image segmentation problems, and talk about some useful applications of it.
3 years ago
Model Interpretability and Understanding for PyTorch using Captum
In this blog post, we examine Captum, which supplies academics and developers with cutting-edge techniques, such as Integrated Gradients, that make it simple to identify the elements that contribute to a model's output. We then put these techniques to use in a coding demo with ResNet.
3 years ago
Featured
public
Tutorial
Deep Learning for Image Dehazing- The What, Why, and How
In this tutorial, we discuss the history of image dehazing, show how to set an image dehazing task up in a notebook, and then examine 7 different techniques for performing image dehazing with deep learning!
By
Rohit Kundu
Featured
public
Tutorial
Padding In Convolutional Neural Networks
In this article, we explore how and why we use padding in CNNs in computer vision tasks. We'll then jump into a full coding demo showing the utility of padding.
3 years ago
