Deep Learning for humans

End-to-End Object Detection with Transformers

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

A simple implementation of MLP Mixer in Pytorch

In this Repo, A #UNET in #Pytorch is presented for Image segmentation of #Carvana challenge.

In this project I'm going to segment Tumor in MRI brain Images with a UNET which is based on Keras. The dataset is available online on Kaggle, and the algorithm provided 99% accuracy with a validat…

purpose: correctly output bounding boxes around the objects and predict what the objects are.

Polarization image analysis tool. Demosaicing, Stokes vector, Mueller matrix.

Convolutional demosaicing network for joint chromatic and polarimetric imagery

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

Segmentation models with pretrained backbones. PyTorch.

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"