Sangh0/DeepLearning-Tutorial

Introduction to Neural Network with Keras and PyTorch for beginners

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vishavsingla/Distracted-driver-detection

This project addresses the danger of distracted driving by developing a system that analyzes in-vehicle camera footage. Deep learning models, including self-trained Convolutional Neural Networks (CNNs) and pre-trained architectures like ResNet-50 and VGG-16, are used to identify drivers who are texting, using phones, reaching for objects or talking

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HanXiaoyiGitHub/Simple-CV-Pytorch-master

This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.

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ashita03/Bone-Fracture-Detection

Streamlit web-app based Bone Fracture detection using YoloV8, FasterRCNN with ResNet, and VGG16 with SSD

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mfsungeun/waste-cnn-image-classification

This repository contains code for comparing and evaluating various CNN classification models on a waste image dataset.

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saral7293/Image-Classification-vgg16--Transfer-Learning-

This repo is for Image Classification of butterfly images of 10 classes using Transfer Learning. Different Pre-trained DL models were used for Transfer Learning. Also, flask was used to create a front end.

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gorkemgul/VGG-Hub

A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models

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Murgio/Food-Recipe-CNN

food image to recipe with deep convolutional neural networks.

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arya1406/white-blood-cells-classification

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evenchange4/nextjs-tfjs-cnn

🐕 🐈 Classifier using Keras VGG16 transfer learning with kaggle dataset.

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enter-opy/pneumonia-detection

Pneumonia detection using chest x-ray

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HotPotatoC/Class-Activation-Map

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3ru/leaf-division

WebAI Apprication w/VGG16

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fatimagulomova/deep-learning-course

Deep Learning Courses

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gulomovazukhrakhon/deep-learning-course

Deep Learning Courses

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NirmalSilwal/Deep-Learning

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

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rishikksh20/Image-classifier-for-all

Universal Image classifier

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starkblaze01/Dog-Breed-Classifier

Dog-Breed Classifier

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sanggusti/bangkit_assessment_1

A repository for group #1 class #4 cohort Bandung in Assignment #05-W05-First Machine Learning Project - MLCC

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Arka-Bhowmik/mri_triage_normal

Deep Learning Breast MRI Segmentation and Classification

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chetan0220/Sign-Language-Detection

Sign Language Detection using Transfer Learning

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Khurdhula-Harshavardhan/Pneumonia-Diagnosis-Using-AI

The proposed system uses machine learning to classify X-ray images for potential pneumonia diagnosis. Designed to enhance accuracy and speed, it aims to supplement traditional radiologist evaluations, reducing human error and ensuring timely detection of this critical health concern.

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juhyunhan/Transfer-learning-Project

Transfer learning, VGG16 Backbone을 이용한 U-Net architecture

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pkill37/traffic-sign-segmentation

Binary image segmentation of traffic sign images.

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nmeripo/Identifying-Clothing-Attributes

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

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Howeng98/cnn_pytorch

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sulavchhetri/brain_tumour_detection

This project detects whethere brain tumour is present or not using VGG-16 convolutional neural network

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NajiAboo/vgg16_vgg16_scratch

build vgg16 and vgg19 network from scratch. Used flower data set which can be downloaded from kaggle

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makaveli10/NeuralStyleTransfer

Applies the style of a given image to the content of input image

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marsggbo/script_identification

基于卷积神经网络文字语种识别算法 the method based on CNN for script identification

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avantika0111/COVID-19-Detection-Using-Chest-X-Ray-Images

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IanTaehoonYoo/semantic-segmentation-pytorch

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.

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DarkKnightSgh/ImageForgeryDetection_InceptionV3_VGG16_MobileNet

Image forgery detection using CNN fusion model achieving 85% test accuracy. Features ELA preprocessing and fusion of InceptionV3, VGG16, and MobileNetV2. Ideal for digital forensics.

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binhng2803/VGG16-pytorch-implementation

Here is pytorch implementation of VGG16 from scratch. It was trained on animal dataset for animal classification. It is a pratical project for basic skills in computer vision.

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aryansaxena094/automated-wildlife-monitoring

Automated Wildlife Monitoring Using Deep Learning

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Gyanbardhan/PlantDiseaseDetection

Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future

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polarbeargo/RoboND-Robotic-Inference-Project

Robotic Inference using NVIDIA DIGITS and NVIDIA Jetson

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Joeshmoe03/ASL-classification

ASL classification project repository for sign language recognition

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MohaMedFRy/Sign-Language-Conversation

Translate Sign Language into voice, and vice versa to make a fully Conversation between deaf person and normal person.

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pgrondein/goods_classification_NLP_DIP

Feasibility of a classification engine of articles into different predefined categories, with a sufficient level of precision, based on an image and a description.

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mxagar/asl_alphabet_image_classification

This small project contains approaches to classify letter/alphabet images that contain gestures of the American Sign Language (ASL). Deep Learning models are used with Keras, including (1) CNNs defined from scratch, (2) transfer learning with models pre-trained on ImageNet and (3) autoencoders in combination with random forests.

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sakkyoi/VGG16-Image-Reverse-Engine

An Image Reverse Engine based on VGG16

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Rapter1990/Image-Classification-Examples

Image Classification Examples through CNN, VGG16, MobileNetv2 in Python

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Blackmesa-Canteen/Emotion-Recognition

VGG16 and Autoencoder

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guramritpalsaggu/MedInform

MEDINFORM - AI Powered Multipurpose Web platform for Medical Image Analysis

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thangnh1/PestClassification

A website to identify pests and diseases based on photos use VGG16, Resnet50, Inception v3

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sfujiwara/tfmodel

Canned estimators and pre-trained models converted for TensorFlow.

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reina-peh/Image-Classification-Using-Convolutional-Neural-Networks Fork of cnmnrll/cds-project

Simple CNN, ResNet50, VGG16 and DenseNet121 for 6-class image classification using a dataset containing 2,527 images (glass, paper, cardboard, plastic, metal, trash)

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danishnxt/NLP-Project-VisualQuesGen

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hrithikppawar/Face-Mask-Detection-Using-VGG16

In this notebook, I am going to make a Deep Learning model which can be used to detect a person is wearing a mask or not. We will use VGG16 architecture to train our model to get good accuracy. What is VGG16? We are not going to address that in this notebook, to know more about VGG16 you can follow this link.

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HimanshuRaj98/book-genre-classification

This GitHub repository contains code for a book genre classification project using the VGG16 deep learning model. The project aims to classify books into various genres based on their cover images. The dataset used for training and testing the model consists of 30 book genres.

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SophiaAr/BallerinaClassifier

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Jay-Suthar/Covid-19-Detection-using-CNN-VGG16-VGG19-RESNET-ON-X-RAY-IMAGES

Covid-19-Detection-using-CNN-VGG16-VGG19-RESNET ON X-RAY IMAGES

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vilcajoal/DSRP_Semillero_ClasificacionResiduos

Sistema inteligente basado en Deep Learning para el proceso de clasificación de residuos

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Rounak-Das-02/DogsVsCats_withVGG 📦

Demonstration of VGG model (tensorflow)

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animikhaich/VGGNet-Tensorflow

VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x

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cattidea/subtitle-location 📦

😁 基于 CNN 的字幕定位网络

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taher-software/Perform-automatic-image-indexing

Classical approach vs cnn approach to detect the dog' breed from his image.

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hrugved06/crop-disease-detection-using-VGG16

Food Crop disease detection model using VGG16 architecture

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IEEE-NITK/Image_Captioning

Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions.

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durandtibo/deep_archi_latex

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tensorlayer/SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Language: Python - Size: 145 MB - Last synced: 23 days ago - Pushed: 3 months ago - Stars: 3,187 - Forks: 807

SaiPrashanthMaddhe/CSM02-Cricket-Video-to-Text-Summarization-Major

This generates a concise and contextual summary for a given cricket match video utilizing only visual information

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shouryasimha/Ships-In-Satellite-images

Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. This flood of new imagery is outgrowing the ability for organizations to manually look at each image that gets captured, and there is a need for machine learning and computer vision algorithms to help automate the analysis process. The aim is to help address the difficult task of detecting the location of large ships in satellite images. Automating this process can be applied to many issues including monitoring port activity levels and supply chain analysis.

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senior-sigan/KawaiiSearch

An application to find similar pictures based on the VGG16 and kNN

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nileshparab42/Air-Pollution-Classification

This deep learning project focuses on building a robust air quality classifier from photos using two different deep learning architectures.

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Jash271/Intel-Image-Classifier

Image classification implemented using PyTorch,to classify scenery images

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pranav-gupta-7/Convolutional-Autoencoder-for-Noise-Removal

Convolutional Autotencoder for noise removal and fine tuned vgg16 model to classify denoised images.

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cjpurackal/m2det-tf

Tensorflow 2.0 implementation of m2det

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raventan95/echo-view-classifier

Language: Python - Size: 552 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 6 - Forks: 3

Akash1070/Predicting-Lung-Disease-With-Computer-Vision

Predicting Lung Disease With CV

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Akash1070/Computer-Vision

Building & Deploying Computer Vision Models

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basuru07/Image_Processing_and_Computer_Vision_Practicals

Guide for setting up a virtual environment and kernel for Python image processing. Practical exercises cover face recognition, shapes detection, vehicle identification, face detection, and vehicle number plate detection in a Jupiter Notebook. Purpose: Hands-on experience with essential computer vision techniques.

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pouriaSameti/computer-vision

The Computer Vision Course Projects.

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Nikronic/CoarseNet

Modified version of U-net based on "Convolutional Networks for Biomedical Image Segmentation (Ronneberger et al., 2015)" paper.

Language: Python - Size: 10 MB - Last synced: 10 days ago - Pushed: over 2 years ago - Stars: 25 - Forks: 2

nassimmokhtari/Enhanced-Spatio-Temporal-Image-Encoding

This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".

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nassimmokhtari/Spatio-Temporal-Image-Encoding

This project represents the implementation of the Spatio-Temporal Image Encoding used in the paper "Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection" published in the "International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications(VISAPP) 2022".

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fsarshad/Covid19XRaysHw2

Covid-19 X-Rays Deep Learning

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Hokfu/Flower-image-classification

Deep Learning model for classifying images of daisy and dandelion

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SK7here/Identifying-free-parking-lots-CNN

A VGG16 model is built to identify free parking lots. Transfer learning is used while training the model.

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MartinKalema/Kidney-Disease-Classification-MLflow-DVC

End to End Kidney Disease Classification

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shshwtsrkr/Biopsy-AI

This project is our submission, for the Google Solution Challenge 2023. With this project, we hope to make an impact and contribute to the field of Good Health and Wellbeing. This project aims to make early stage cancer detection of various types (specifically Brain Tumor, Breast Cancer & Leukemia) sustainable.

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zubairsamo/Object-Detection-With-Tensorflow-Using-VGG16

Detection of Airplanes Using Pre_Trained Model VGG16 with tensorflow

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yxlijun/S3FD.pytorch

SFD implement with pytorch

Language: Python - Size: 14.4 MB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 263 - Forks: 58

cvjena/alpha_pooling

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

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Ritvik896/Apis-Insight-

Predict bee phenotype, beehive health as well as live time bee and beehive Monitoring

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LaurentVeyssier/Skin-Cancer-Classifier-Dermatologist-AI

Deep Neural network using CNN pre-trained model to visually diagnose between 3 types of skin lesions

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LaurentVeyssier/Semantic-Segmentation-with-Fully-Convolution-Network

Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles

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manczakw/VGG_16_BIRDS_525

Modified Vgg16 neural network recognizing species of 525 birds

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yuvraaj2002/GreenGuard.AI

GreenGuard is a cutting-edge picture classification initiative that aims to transform agriculture by giving farmers an automated way to identify plant illnesses early on. In order to reduce crop losses and enhance farming methods, GreenGuard uses a convolutional neural network to detect and categorize sick plants.

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franckfotso/faster_rcnn_logo

Application of py_faster_rcnn for logo detection task: ZF & VGG16

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FPT-ThaiTuan/Using-deep-learning-to-classify-fruits-using-the-VGG16-model

Classify 8 types of fruit using the VGG16 model with accuracy up to 90%

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ZFTurbo/Pretrained-VGG-neural-nets-in-TensorFlow

Set of VGG neural net models for TensorFlow. Weights converted from Pytorch.

Language: Python - Size: 5.86 KB - Last synced: about 2 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

ljanyst/image-segmentation-fcn

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Language: Python - Size: 3.14 MB - Last synced: 21 days ago - Pushed: almost 7 years ago - Stars: 87 - Forks: 33

IMobinI/Recognition-of-Numbers-and-Letters

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YunYang1994/TensorFlow2.0-Examples

🙄 Difficult algorithm, Simple code.

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msamhz/Multi-Class-Image-Classifier-using-CNN-through-Live-video

Using CNN modelling and Transfer learning for multi-class classification of Vegetable images

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radonys/CFB-VQA

VQA Challenge - hosted on Hasura using Flask

Language: Python - Size: 49.5 MB - Last synced: about 2 months ago - Pushed: about 6 years ago - Stars: 2 - Forks: 0

prachi-77/CNN-Image-Classification

Image Classification using CNN

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SoniGarima/mobile_ocular_biometrics_using_patchGAN_and_siamese

Analysis of different models for mobile ocular biometrics.

Language: Python - Size: 82 KB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 1