AFAgarap / support-vector-machineLinks
An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
☆19Updated 2 years ago
Alternatives and similar repositories for support-vector-machine
Users that are interested in support-vector-machine are comparing it to the libraries listed below
Sorting:
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆71Updated 2 years ago
- Machine learning classifier for cancer tissues 🔬☆77Updated 4 years ago
- Implementing Transfer Learning for custom data using VGG-16 and Resnet-50☆148Updated 3 years ago
- [ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset☆62Updated 2 years ago
- The dataset is Flower Recognition on Kaggle. The dataset consists of 4232 images each of different pixel values. Each of the image can be…☆20Updated 5 years ago
- Skin cancer classification using Inceptionv3☆24Updated 7 years ago
- AI app to detect breast cancer in histopathological database☆61Updated 5 years ago
- Using pre-trained model to classify images to detect cancerous cells☆28Updated 6 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 years ago
- Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.☆109Updated last year
- Various implementations and projects on CNN, RNN, LSTM, GAN, etc☆29Updated 7 years ago
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset☆31Updated 7 years ago
- Autoencoder model for rare event classification☆105Updated 6 years ago
- A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)☆35Updated 7 years ago
- Image classification using CNN☆15Updated 6 years ago
- Image feature selection performed by using white and black box algorithms☆25Updated 3 years ago
- Image Classification using Keras as well as Tensorflow.☆81Updated 10 months 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 from…☆105Updated 2 years ago
- An implementation of the Multilayer Perceptron for breast cancer detection using the Wisconsin diagnostic dataset.☆10Updated last year
- Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and hence they have different treatment…☆15Updated 7 years ago
- X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2☆111Updated 7 years ago
- Diseases Detection from NIH Chest X-ray data☆82Updated 4 years ago
- Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification☆70Updated 5 years ago
- Deep Learning Project on Diabetic Retinopathy Detection - TUM Team ID 47☆23Updated 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 …☆57Updated 5 years ago
- Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆126Updated 5 years ago
- Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies☆52Updated 7 years ago
- CNN based Image Classification on CIFAR-10 dataset, along with data augmentation and deployment of the trained CNN model using Flask. (Py…☆28Updated 5 years ago