sorna-fast/breast-cancer-diagnosis-neural-network

ANN-based breast cancer classifier using the Wisconsin Diagnostic Dataset. Implements advanced feature engineering and achieves 98.25% test accuracy. Includes comprehensive EDA, model training, and clinical impact analysis

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google/magika

Detect file content types with deep learning

Language: Python - Size: 81.2 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 8,709 - Forks: 449

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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tanush-g/Brain

This project aims to classify brain MRI images into four categories: Glioma, Meningioma, No tumor, and Pituitary tumor. It utilizes TensorFlow to build and train a convolutional neural network (CNN) for the task.

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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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Haozhe-py/TensorAI

An Image Recognition AI tool, which is use to show the number on a picture. (0~9 only) TEST Accuracy: 0.97

Language: Python - Size: 1.48 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

HaseebUlHassan437/pre-trained-Resnet18-and-Resnet50

This project demonstrates how to use pre-trained ResNet18 and ResNet50 models for image classification. ResNet18 is applied to the CIFAR-10 dataset, while ResNet50 performs top-5 predictions on custom images using ImageNet weights—all implemented in PyTorch via Google Colab.

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ArshTiwari2004/Sahyog

Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

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AM-Ankitgit/Complete-Deep-Learning-Algorithms

deep-learning machine-learning

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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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sergio11/disasters_prediction

🚨 Classifying disaster-related tweets using deep learning 🤖 to identify real vs. fake news during crises 🌍. 🔍 NLP techniques help clean and preprocess data for accurate predictions 📊.

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NikhilTej2006/crop-health

It is a crop health diagonising model .. with >50% accuracy

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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: 15.3 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 136 - Forks: 104

dkeras-project/dkeras

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

Language: Python - Size: 6.48 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 188 - Forks: 12

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 at: 4 months ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

AleksanderVEriksen/Image_classification_ResNet50

Image classification of concrete cracks using the pre-trained ResNet50 model

Language: Python - Size: 81.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

benckx/dnn-movie-posters

Classify movie posters by genre

Language: Python - Size: 1.93 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 51 - Forks: 33

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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wesleyscholl/Machine-Learning-Projects

Machine learning projects completed for the Machine Learning with Python Certification

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titu1994/Keras-Classification-Models

Collection of Keras models used for classification

Language: Python - Size: 54.7 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 317 - Forks: 100

ArtZaragozaGitHub/NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services

Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers

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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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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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LoopyNoodle/Neural-Networks

A collection of small projects to further explore artificial neural networks (ANNs) and various machine learning algorithms.

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Magnus0969/Multi-Class-Classification

This repository contains a comprehensive implementation of a multi-class classification model, leveraging various machine learning algorithms to classify data into multiple categories. The project includes data preprocessing, model training, evaluation, and performance metrics to assess the effectiveness of different classification techniques.

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anjanatiha/Image-Recognition-using-Deep-Convolutional-Neural-Network

Image Recognition using Deep Convolutional Network and Training Pre-trained Models ("Inception")

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jcaperella29/flask_classification_app

This is a flask web app for classificing and visualization data .It it deployed at the link below.

Language: Python - Size: 27.3 KB - Last synced at: 20 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sushant1827/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

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Pavansomisetty21/Image-Classification-using-Keras-Pretrained-models

we classify the images with keras pre trained models like vgg 16 model ,Resnet-50 model and inception-v3 model

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gautamgc17/Apna-CheckUp

This project is a Disease Prediction system that allows users to check for potential infections based on reports or X-ray/MRI images.

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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: 43.9 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 14 - Forks: 7

Mohammed-abdulaziz-eisa/Digital-Egypt-Pioneers-Initiative-Project

BBC News Classification

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AziziShekoofeh/Time-series-Classification

Classification of Time-series data with RNN

Language: Python - Size: 40 KB - Last synced at: 6 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 4

swainshashwat/Audio-Classification-using-Deep-Learning

Classifying 10 different categories of Sound using Deep Learning.

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rufilboss/image_classifier

Image Classifier using CIFAR-10 and TensorFlow/Keras

Language: Python - Size: 1.67 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

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 at: 5 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SreeEswaran/Handwritten-digit-Classification

This project implements a Convolutional Neural Network (CNN) to classify handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.

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DouglasVolcato/rock-paper-scissors-machine-learning-model

Language: Python - Size: 206 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

lauracarpaciu/Human-activity-recognition-with-smartphones

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AdityaUECU/Deepfake-Detection

A CNN-LSTM (Convolutional Neural Network - Long Short-Term Memory) model is a powerful approach for classifying deepfake videos. The CNN component extracts spatial features from video frames, while the LSTM component captures temporal dependencies between frames.

Language: Python - Size: 1.23 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

michaellaephillips/ImageDetectionForPlantDisease

Disease identification using keras and LeNet.

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Sandeep19531/Clothing_Detection

It is a supervised neural network project that can detect an image of a clothing material with high accuracy. It is a python program that uses various python libraries. Gray scale images are used in this project.

Language: Python - Size: 2.93 KB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

AlJonny/WorkSamples_DataScience

Machine Learning topics and code examples from coursework

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Dipika2020/Automated-Face-Mask-Detection-System-using-Open-CV-and-Keras

Given a trained COVID-19 face mask detector, which is used to detect COVID-19 face masks in images and in video streams, using various model training and visualizing techniques in python.

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arielycliu/calorme Fork of kchatr/calorme

The AI Portion of CalorMe: my AI models were evicted~

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lucastanger/rock_paper_scissors

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

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followthefourleafedclover/Sneaker-Classification-Model

This a Sneaker Classification Model built using tensorflow keras

Language: Python - Size: 2.93 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

credo92/CNN-Keras-Dog-Cat-Identification

Keras Deep Learning CNN Model for Dog / Cat Identification

Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

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 at: over 1 year ago - Pushed at: almost 8 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 at: over 1 year ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: 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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arielycliu/CalorMeAI

The AI portion of CalorMe

Language: Jupyter Notebook - Size: 160 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

GiteshJ/ResNets

ResNet architecture implementation in Keras

Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: about 7 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 at: over 1 year ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 3

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".

Language: Jupyter Notebook - Size: 738 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 4

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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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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sspathak/eye-mouse

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

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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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alexisbcook/keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

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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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ladkabiharihai/Cifar10-image-classification

Image classification by CNN using keras

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TheLastFrame/Capsule-Network-Keras Fork of bojone/Capsule

A Capsule Network implementation in pure Keras running on Tensorflow 2.0

Language: Python - Size: 65.4 KB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

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 at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

harshtikuu/Gender_Recognition

Determining Gender given the parameters of a voice

Language: Python - Size: 418 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 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 at: almost 2 years ago - Pushed at: over 2 years 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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Vzzarr/Keras-NN

Language: Python - Size: 2.12 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

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

Real-Time Face Mask Detection Model

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2

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 at: over 1 year ago - Pushed at: over 7 years ago - Stars: 279 - Forks: 101

ayberkgezer/Minerals-Classification

Language: Jupyter Notebook - Size: 726 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

STiago/R-KERAS

Blood Cell Images Dataset

Language: R - Size: 4.12 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

pestipeti/KaggleDigitRecognizer

Simple CNN for recognizing hand written digits

Language: Python - Size: 226 KB - Last synced at: almost 2 years ago - Pushed at: over 7 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 at: 5 months ago - Pushed at: about 2 years 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 at: almost 2 years ago - Pushed at: almost 2 years 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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ayberkgezer/Retina-Damage-Detection-OCT-Images

Retina OCT Images Different Model Train

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