PyTorch is a convolution neural network to develop image classification, object detection, and generative application. Using PyTorch, a programmer can process images and videos to develop a highly accurate and precise computer vision model.
Top PyTorch based projects to try out in 2022 are-
- CycleGAN for Image-to-Image Translation-
Cycle Generative Adversarial Network or CycleGAN is a technique for automatic training of image-to-image translation models without using paired examples. CycleGAN is made of two kinds of networks–discriminators and generators.
- One Net-
It is an end-to-end fully convolutional system which eliminates the requirement of techniques such as non-maximal suppression. Instead, it introduces new techniques such as non-maximal suppression.
PyText includes a large portfolio of NLP tasks such as text classification, word tagging, semantic parsing, and language modeling which streamline the implementation of NLP workflows.
ArtLine uses deep learning algorithms to produce quality line art portraits. Built using the APDrawing dataset and Anime line art pair, this project generates better high-quality images than the existing methods using PyTorch and Fastai libraries.