AFAgarap / support-vector-machine
An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
β19Updated last year
Alternatives and similar repositories for support-vector-machine:
Users that are interested in support-vector-machine are comparing it to the libraries listed below
- Machine learning classifier for cancer tissues π¬β74Updated 3 years ago
- Implementing Transfer Learning for custom data using VGG-16 and Resnet-50β148Updated 3 years ago
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fasβ¦β70Updated 2 years ago
- [ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Datasetβ60Updated last year
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Dataβ27Updated 5 years ago
- Diseases Detection from NIH Chest X-ray dataβ78Updated 3 years ago
- Neural network for detecting cardiac dysrhythmiaβ15Updated 10 years ago
- Various implementations and projects on CNN, RNN, LSTM, GAN, etcβ29Updated 6 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engineβ61Updated 6 years ago
- Tutorial: Support Vector Machine from scratch using Python3β37Updated 7 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia fromβ¦β103Updated last year
- Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)β31Updated 8 years ago
- AI app to detect breast cancer in histopathological databaseβ60Updated 4 years ago
- β24Updated 3 years ago
- Skin cancer classification using Inceptionv3β26Updated 7 years ago
- Autoencoder model for rare event classificationβ105Updated 5 years ago
- Simple guide on how to generate ROC plot for Keras classifier | DLologyβ41Updated 6 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNNβ¦β10Updated 2 years ago
- A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)β35Updated 6 years ago
- Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign anβ¦β86Updated 7 years ago
- Using pre-trained model to classify images to detect cancerous cellsβ28Updated 6 years ago
- Image classification using CNNβ15Updated 6 years ago
- Heart Disease Analysis repositoryβ28Updated 7 years ago
- Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the β¦β56Updated 5 years ago
- Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin datasetβ30Updated 7 years ago
- Deep Learning Project on Diabetic Retinopathy Detection - TUM Team ID 47β22Updated 6 years ago
- Keras VGG implementation for CIFAR-10 classification Tutorialβ14Updated 5 years ago
- β42Updated 6 years ago
- Predicting whether a patient has cancer or notβ16Updated 6 years ago
- Ensembling ConvNets using Kerasβ75Updated 5 years ago