google/magika

Detect file content types with deep learning

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sergio11/iot_network_malware_classifier

🛡️ The IoT Network Malware Classifier 🚀 is an advanced solution tackling security concerns in IoT, employing deep learning for precise malware detection in network traffic.

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lucastanger/rock_paper_scissors

:fist::hand::v: Rock Paper Scissors Detection using a Convolutional Neural Network

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luca-parisi/quantum_relu

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

Language: Python - Size: 71.3 KB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 11 - Forks: 4

credo92/CNN-Keras-Dog-Cat-Identification

Keras Deep Learning CNN Model for Dog / Cat Identification

Language: Python - Size: 4.88 KB - Last synced: 11 days ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

SandeepVashishtha/Image-Recognition

Identify and classify objects in real-time video streams using TensorFlow and OpenCV. This project is designed for applications like security systems, robotics, and interactive installations, combining the power of TensorFlow for deep learning with OpenCV's webcam interaction.

Language: Python - Size: 167 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 12 - Forks: 1

JamesOConnor/Kaggle_PlanetLabs

Python scripts for Kaggle's Planet Labs Competition in 2017 using Keras and Tensor Flow

Language: Python - Size: 96.9 MB - Last synced: 14 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

sdas2k18-tech/SRGANs

Super-resolution using GANs. CNN, Image Classification and Image Upscaling.

Language: Python - Size: 17.4 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 4 - Forks: 0

fenicXs/Sickle-Cell-anemia-detection

This repository contains code for a convolutional neural network (CNN) model trained to detect sickle cell anemia in blood cell images. The model achieves 78% accuracy on test images, aiding in early diagnosis and management of this hereditary blood disorder.

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jakhac/rs-classification

Remote Sensing Classification

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HayatiYrtgl/ML_divorce_Classification-with-5-models

The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.

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GargiChakraverty-yb/OCT

Did comparative study of image classification accuracy by feeding 84,495 images, 4 categories OCT images into different pre-trained Keras models

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LlfeSteal/CommentClassifier_AI 📦

Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.

Language: Python - Size: 72.3 KB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 0 - Forks: 0

followthefourleafedclover/SneakerClassificationModel

This a Sneaker Classification Model built using tensorflow keras

Language: Python - Size: 2.93 KB - Last synced: 28 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Hokfu/Flower-image-classification

Deep Learning model for classifying images of daisy and dandelion

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GiteshJ/ResNets

ResNet architecture implementation in Keras

Language: Python - Size: 2.93 KB - Last synced: about 2 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

GiteshJ/Breast-Cancer-Phase-Detection

Detecting Brest Cancer from histology images using keras.

Language: Python - Size: 15.7 MB - Last synced: about 2 months ago - Pushed: about 5 years ago - Stars: 10 - Forks: 3

samiyaalizaidi/Image-Classification-with-RPi

This repository contains all the files for the computer vision based final project of the Neural Networks and Machine Learning class.

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vicaaa12/Deep-Neural-Networks

Neural Network

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joaopauloschuler/two-branch-plant-disease

Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

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LazyHooks/RealTimeLocator.io

An application that helps you find a product available in a registered store when they have it in their inventory in Real Time

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joaopauloschuler/two-path-noise-lab-plant-disease

Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

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usmanyousaaf/Brain-Tumor-prediction-classification-project

This project implements a deep learning model using Convolutional Neural Networks (CNNs) for the classification of brain tumors in MRI scans. The model is trained on a large dataset of MRI images, which includes 4 types of tumors. {meningioma_tumor , glioma_tumor , pituitary_tumor , no_tumor}

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joaopauloschuler/k-neural-api

K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.

Language: Python - Size: 15.4 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 130 - Forks: 110

titu1994/Keras-Classification-Models

Collection of Keras models used for classification

Language: Python - Size: 54.7 KB - Last synced: about 2 months ago - Pushed: about 5 years ago - Stars: 316 - Forks: 102

sarah-zhan/birds-classification

Leverage TensorFlow, Keras, and Xception to train a predictive model with the provided dataset. Once the model is trained, it can be utilized tflite to make predictions. For deployment, upload the model to AWS ECR and employ AWS Lambda for model execution.

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techshot25/Malaria-Detector

Malaria Detection Using Convolutional Neural Networks

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vigneshavmm/image_classification

In this project, the code snippet initialises a machine learning project for image classification.

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easonlai/pneumonia_classification_challenge_databricks

This is sample repos for how to use Keras Tuner to perform hyper-parameter tuning in Databricks.

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mashyko/Image-Classifier

examples of image classification using Keras+ Tensorflow 2.0 and PyTorch

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dkeras-project/dkeras

Distributed Keras Engine, Make Keras faster with only one line of code.

Language: Python - Size: 6.48 MB - Last synced: 5 months ago - Pushed: over 4 years ago - Stars: 190 - Forks: 13

cmac-ire/machine-learning-app

An intuitive and user-friendly web application developed using Python to classify X-ray images and identify if they indicate the presence of pneumonia.

Language: Python - Size: 144 MB - Last synced: 3 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

alexisbcook/keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

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spatialaudio/classification_exercise

Multiclass classification example/exercise using deep neural networks (DNNs)

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im-aditi/Iris-keras

A neural network built with the help of Keras to perform classification on Iris dataset

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im-aditi/rock-paper-scissors

Recognises hand gestures for Rock, Paper or Scissors

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ShettySach/Kannada-Digit-Recognizer-v1

Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.

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ladkabiharihai/Cifar10-image-classification

Image classification by CNN using keras

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vinayak1998/Devnagari-Character-Recognition

Using CNN(Keras) and Image Augmentation techniques to classify a given set of handwritten Devnagari characters

Language: Python - Size: 142 KB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

harshtikuu/Gender_Recognition

Determining Gender given the parameters of a voice

Language: Python - Size: 418 KB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 1

nykolai-d/classification_1

This code trains a neural network model to classify images of clothing using tf.keras

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vaitybharati/NN_Hyperparameter-Tuning

Tuning of Hyperparameters :- Batch Size and Epochs. Tuning of Hyperparameters:- Learning rate and Drop out rate. Tuning of Hyperparameters:- Activation Function and Kernel Initializer. Tuning of Hyperparameter :-Number of Neurons in activation layer. Training model with optimum values of Hyperparameters.

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vijay033/DeepLearningPractice

Modeling deep learning methodologies

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north0n-FI/Image-recognition-with-Convolutional-Neural-Networks

A few notebooks on building binomial as well as multilabel image classifiers from scratch. Also, how to use a pretrained ConvNet for image classification.

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kantharajucn/review_helpfulness_classification

Amazon review helpfulness classification

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hasimensarkavak/Multilayer-Perceptron-Classification

Multilayer Perceptron Classification with Python

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Fibration/dog-project Fork of udacity/dog-project

My extension of the dog project at the Udacity AI Nanodegree

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ellietoulabi/cat-dog-classification

Classification of dog and cat images using NN and CNN

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jeraemiusshannonj/Digit-Classification-MNIST-dataset

Using MNIST dataset of handwritten digits to train a convolutional network to predict the digit given an image.

Language: Python - Size: 14.6 KB - Last synced: 8 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

ArjunBasandrai/CXR-Classifier

A Deep Learning Project for Chest X-ray Image Classification of COVID-19, Tuberculosis (TB), Pneumonia, and Normal Cases

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swainshashwat/Audio-Classification-using-Deep-Learning

Classifying 10 different categories of Sound using Deep Learning.

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Vzzarr/Keras-NN

Language: Python - Size: 2.12 MB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

Xx-Ashutosh-xX/Real-Time-Face-Mask-Detection-Model

Real-Time Face Mask Detection Model

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Xx-Ashutosh-xX/Identifying_Handwritten_Digits

Using MNIST Dataset to train a CNN model for identifying handwritten digits

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Xx-Ashutosh-xX/Cats_vs_Dogs

Usage of CNN to build a Cat vs Dog Model

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alexisbcook/ResNetCAM-keras

Keras implementation of a ResNet-CAM model

Language: Python - Size: 2.67 MB - Last synced: 6 months ago - Pushed: over 6 years ago - Stars: 279 - Forks: 101

TrilokiDA/Fake-News-Classifier-LSTM

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sspathak/eye-mouse

Control your PC's mouse by just looking at the screen!

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ayberkgezer/Minerals-Classification

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STiago/R-KERAS

Blood Cell Images Dataset

Language: R - Size: 4.12 MB - Last synced: 9 months ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0

pestipeti/KaggleDigitRecognizer

Simple CNN for recognizing hand written digits

Language: Python - Size: 226 KB - Last synced: 9 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

gautamgc17/Apna-CheckUp

Language: HTML - Size: 21.6 MB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

andreanstev/CatsOrNo

A simple ConvNet model created for predicting whether there is a cat or not in the picture.

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Asirwad/IrisFlowerClassifier-DNNClassifier

🌺 🌸This project uses TensorFlow's DNNClassifier to classify the famous Iris flower dataset 🌼. Train a deep neural network 🧠 to distinguish between different species and explore the beauty of machine learning 🌿🌺🌼

Language: Python - Size: 8.79 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

scottherford/IDC_BreastCancer

Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it is present in otherwise unlabeled histopathology images. The dataset consists of approximately five thousand 50x50 pixel RGB digital images of H&E-stained breast histopathology samples that are labeled as either IDC or non-IDC. These numpy arrays are small patches that were extracted from digital images of breast tissue samples. The breast tissue contains many cells but only some of them are cancerous. Patches that are labeled "1" contain cells that are characteristic of invasive ductal carcinoma. For more information about the data, see https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872.

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caozrich/Etherium_Blockchain_Phishing-_Detection_APP-KNN

k-Nearest Neighbors (KNN) used for an Etherium Blockchain classification problem

Language: Python - Size: 40 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0

jillmpla/thesis_recurrent_neural_nets

Predicting solar flares with simple RNNs, LSTMs and GRUs.

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AhmedAli288/0-9-Handwriting-Recognition

Complete implementation of 'Neural Network' from scratch. In this code machine learning of 0-9 Handwritten digits in different styles using "Keras", "Keras-dataset" & "Tensorflow" is done.

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deepsense-ai/Keras-PyTorch-AvP-transfer-learning

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

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MoinDalvs/Neural_Networks_Forest_Fire_Classification

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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Jaiswal0786/Dog-Breed-Identification

Implementation of a convolutional neural network (CNN) for identifying dog breeds, the code uses Keras and TensorFlow to train and evaluate the model.

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irfanalidv/Automatically_Recognizing_Pictured_Dishes_using_Keras

Automatically recognizing pictured dishes.

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rkshiyaniya/Multiple-Handwritten-Digit-Recognition

Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI

Language: Python - Size: 2.41 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 8 - Forks: 2

danmorales/CursoDS_ProfDanilo

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

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instautils/spider

Make a graph network of your followers. Based on username and gender

Language: Python - Size: 2.16 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 17 - Forks: 1

Githongo/ICSProjectII

ICS 4101: Informatics and Computer Science Project II

Language: CSS - Size: 5.72 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

Gautham0011/Pneumonia-Detection-Using-Deep-Learning

In this Project we aim to dive into a Present Societal Pandemic issue which we are facing around us past 2 years due to outbreak of Novel Corona Virus.  Getting tested for covid-19 virus is not an easy deal with costly RT-PCR test, and delayed results, and with its no. of variants with different mutations emerging everyday all the new methods found to detect the virus and its variant have either become : - Ineffective as all tests may not find each of the variants. - Each of them a set a finical restrictions for the technology used. - Each test has its own detection time .  Chest X-Ray already exists and overcomes most of the above drawbacks, but still fail to give long term effects or severity.  So as a Solution We Aim to develop a model to give large no. of classifications and comparisons of Covid Patients and whether it leads to pneumonia disease , also these models could be trained to classify long term effects after years of infection how things could change w.r.t chest infections, and lead to other chronic disease.

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Prajwal10031999/Cataract-Detection-using-VGG-19

A deep learning model built to detect cataract in human eyes using the VGG-19 pretrained weights

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AndrijaS37N/custom-image-classifier 📦

Old project and unoriginal code mostly. An image classifier with a custom neural net and a couple of pre-trained neural nets.

Language: Python - Size: 4.53 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

Hamza-t/Deep-Learning-Labs

Language: Jupyter Notebook - Size: 427 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

asaldelkhosh/pima-indians

Implementing a keras model for diabetes recognition.

Language: Python - Size: 32.2 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 0

boguss1225/TensorFlow2.0_Image_Classification Fork of calmisential/TensorFlow2.0_Image_Classification

TensorFlow_2.0 Classification of Various Keras Models.

Language: Python - Size: 3.65 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

maghid/italian_fingerspelling_recognition

Dataset + convolutional neural network for recognizing Italian Sign Language (LIS) fingerspelling gestures

Language: Python - Size: 60.8 MB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 6 - Forks: 4

ArnavGupta2024/CIFAR10

image classification task on cifar10 dataset using various architectures

Language: Jupyter Notebook - Size: 169 KB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

benckx/dnn-movie-posters

Classify movie posters by genre

Language: Python - Size: 1.93 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 41 - Forks: 34

prateeksawhney97/Goa-Monument-Prediction

Deep Learning Model for classifying Monuments in Goa Using Keras

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dkreider/tensorflowjs-cat-vs-dog

A cat vs dog image classifier built with keras and then exported to be used in the browser by tensorflow.js

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MohamedSebaie/Gender-Age-Race_Prediction_Keras

Gender Age Race Prediction Keras with Multiple Heads to The Model.

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thakur-nandan/DeepLearningWithKeras

How to use the Keras Deep Learning library

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suwarna93/-DMSP-Particle-Precipitate-Flux-Prediction-Mesoscale-

particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by ML approaches to appropriately utilize diverse information from the solar wind and geomagnetic activity and, importantly, their time histories. With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a >50% reduction in errors from a current state‐of‐the‐art model oval variation, assessment, tracking, intensity, and online nowcasting (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar‐terrestrial research community.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

swarathesh/COVID_DCGAN_WEBAPP

Generate synthetic dataset using DCGAN and test various transfer learning models to classify covid 19 x-rays.

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insectatorious/fashion_mnist_demo

Tensorflow 2.x image classifier showing network visualisation abilities. Live demo 👉

Language: Python - Size: 28.9 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

manasik29/Assignment_Prediction_ForestFires_BurnedArea

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

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kalhorghazal/Predicting-COVID-19-from-Lung-X-ray

👩‍⚕️Predicting-COVID-19-from-Lung-X-ray, Artificial Intelligence course, University of Tehran

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royalbhati/Keras-imageClassification

Image classification using keras with tensorflow as backend

Language: Jupyter Notebook - Size: 348 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 3 - Forks: 0

xavierigneous/Car-Damage-Classification

Use publicly available data to train and classify damage incurred by cars, by OpenCV and CNN Networks

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rahatkader/Keras-Image-Classification-simple-architecture-and-VGG16-

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starkjones/Neural-Networks

Employing Sequential Modeling and Confusion Matrices to predict Heart Disease

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Abhishekmamidi123/Identify-Online-Patient-Conversations

Hackathon by ZS Associates

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netrapathak/Offline-Signature-Verification

Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.

Language: Python - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 24 - Forks: 10