TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).
APACHE-2.0 License
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Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
Fine-tuning Stable Diffusion using Keras.
VGGFace implementation with Keras Framework
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Deep learning codes and projects using Python
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
Implementation of MAXIM in TensorFlow.
Probing the representations of Vision Transformers.
This project presents a simple framework to retrieve images similar to a query image.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...
Keras implementation of ViT (Vision Transformer)
A non-exhaustive collection of vision transformer models implemented in TensorFlow.
yolov3 with mobilenetv2 and efficientnet
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.