Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
MIT License
Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset
This repository contains implementations and illustrative code to accompany DeepMind publications
This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Proj...
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/151...
Taming Transformers for High-Resolution Image Synthesis
3.47% on CIFAR-10
Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in Tensor...
Unsupervised Data Augmentation experiments in PyTorch