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360-images-vgg-based-autoencoder-pytorch

PyTorch implementation of Autoencoder for 360 images , the encoder leverage vgg convolutions weight

360-latent-attention-stream

a_guide_to_running_tensorflow_models_on_android

This is the code for"A Guide to Running Tensorflow Models on Android" By SIraj Raval on Youtube

atsal

360 video Head and Eye movement prediction framework with two-stream models

beginner-guide-to-pytorch

classification-rest-api

Keras imagenet classification REST API , VGG , ResNet50 , InceptionV3 , Xception

creating-a-containerized-web-application-with-docker-compose

Tutorial : Guide to Creating a Containerized Web Application With docker-compose

deep_learning_coronavirus_cure

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

deploying-containerized-machine-learning-model-rest-api-

Deploying ML model in production ,Nginx web server , Gunicorn, Flask ,dockercompose

examples

Kubernetes application example tutorials

extend_2d_saliency_model_for_360_video

koa_nlcs2024

machine-learning-with-python

Machine Learning Implementations in Python

mae-eyetracking-evaluation

medical-imaging-datasets

A list of Medical imaging datasets.

pqca-icassp2024

pytorch-implement-vgg-on-custom-dataset

this project is a trainable implementation of all vgg network versions on a costum dataset .

qomex24

reproduced-vr-eyetracking

salema-multi-expert-on-cmp

Create two versions of an existed model for dynamic saliency prediction on 2D video, new models are designed to predict saliency on 360 videos

salgan

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

saliency

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

stylegan

StyleGAN - Official TensorFlow Implementation

tased-net

Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection (ICCV 2019)

two_stream_model-tensorflow

extend 2D static saliency model in two stream encoder , the model intend to shift doctor attention in medical images

vae-deconv-keras

keras implementation of Variational Autoencoder

variational-autoencoder-pytorch

Variational autoencoder implementation Pytorch