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
