Generating Text Summaries Using GPT-2 on PyTorch with Minimal Training
In this article I will discuss an efficient abstractive text summarization approach using GPT-2 on PyTorch with the CNN/Daily Mail dataset.
In this article I will discuss an efficient abstractive text summarization approach using GPT-2 on PyTorch with the CNN/Daily Mail dataset.
This post covers an in-depth analysis of the Convolution Block Attention Module (CBAM) with a short introduction to Visual Attention Mechanisms.
Using PyTorch, we create a COVID-19 classifier that predicts whether a patient is suffering from coronavirus or not, using chest CT scans of different patients.
Josh Nicholson is the Co-Founder and CEO of scite (www.scite.ai), which is using deep learning to analyze the entirety of the scientific literature to better measure the veracity of scientific work.
This article covers an in-depth comparison of different geometric deep learning libraries, including PyTorch Geometric, Deep Graph Library, and Graph Nets.