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GitHub topics: residual-blocks

Pathfinder1996/attention-gate-residual-unet

Attention Gate Residual UNet for image segmentation

Language: Python - Size: 79 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

FandosA/Normal_Optical_Flow_Prediction_Pytorch

Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.

Language: Python - Size: 248 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

HasnainRaz/Fast-SRGAN

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Language: Python - Size: 4.47 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 685 - Forks: 118

RezaSaadatyar/Medical-Image-Processing

This repository contains code and data for medical image processing tasks. It includes various scripts for processing, analyzing, and evaluating medical images using deep learning techniques, with a focus on models like U-Net and ResNet.

Language: Jupyter Notebook - Size: 1.09 GB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ImanNoferesti/Emotion_AI_Python

Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.

Language: Jupyter Notebook - Size: 56.9 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Abd-AlrahmanBadr/SingleImageSuperResolution

Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.

Language: Python - Size: 36.8 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 3

sdhayalk/TensorFlow_Speech_Recognition_Challenge

Implemented 3 neural network architectures: 1) Combination of RNN LSTM nodes and CNN, 2) CNN with residual blocks similar to ResNet, 3) Deep RNN LSTM network; and compared their performance to detect 12 speech commands.

Language: Python - Size: 818 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 1

billymoonxd/ResUNet

Medical Image Segmentation using Residual U-Net with Attention Mechanisms.

Language: Python - Size: 48.1 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 1

enthussb/WeedDetection

Weed Detection in Sugar Beet Plants

Language: Python - Size: 325 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 2

vilibili/FRED-Net_Keras

This is an implementation of FRED-Net using keras.

Language: Python - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

MartinMa28/brain-tumor-segmentation

Semantic segmentation for brain tumors

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

victor-armegioiu/SegNet---Foreground-Background-Image-Segmentation

Fast bare-bones implementation of convolutional layers, residual blocks, Adam optimizer, backpropagation and custom accuracy and loss functions (F1 score per pixel and binary-crossentropy)

Language: Python - Size: 118 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

Related Keywords
residual-blocks 12 cnn 5 deep-learning 4 tensorflow 4 convolutional-neural-networks 3 keras 3 image-processing 3 computer-vision 3 unet 3 deep-neural-networks 2 encoder-decoder 2 image-segmentation 2 pytorch 2 residual-networks 2 generative-adversarial-network 2 super-resolution 2 sisr 2 attention-mechanism 2 semantic-segmentation 2 dice-coefficient 2 opencv 2 im2col 1 gans 1 dataset-visualization 1 graduation-project 1 gan 1 tensorflow-serving 1 emotion-classification 1 resnet 1 model-training 1 emotion-detection 1 model-deployment 1 key-point-prediction 1 image-augmentation 1 expression-recognition 1 facial-expressions 1 facial-key-point-detection 1 brats2018 1 python 1 iris-segmentation 1 imagesegmentation 1 imagesegment 1 deeplearning 1 computervision 1 python3 1 spatial-attention 1 channel-attention 1 cbam-resnet 1 rnn 1 lstm 1 challenge 1 audio 1 vgg19 1 skip-connections 1 skimage 1 pattern-recognition 1 optimization 1 numpy 1 matplotlib 1 fastsrgan 1 artificial-intelligence 1 residual-neural-network 1 pytorch-implementation 1 pytorch-cnn 1 optical-flow 1 normal-flow 1 encoder-decoder-model 1 encoder-decoder-architecture 1 cnn-model 1 autoencoder 1 vein-biometrics 1 unet-keras 1 tensorflow2 1 segmentation 1 opencv-python 1 jaccard-coefficient 1 dice-loss 1 biometrics 1 data-scaling 1 data-normalization 1 automated-monitoring 1 unet-image-segmentation 1 squeeze-and-excitation-block 1 resunet-plus-plus 1 resunet 1 kersa 1 intersection-over-union 1 attention-blocks 1 atrous-spatial-pyramid-pooling 1 upsample 1 tf2 1 tf-keras 1 tensorboard 1 srgan 1 single-image-super-resolution 1 resolution-image 1 realtime-super-resolution 1 neural-network 1