lesleyping / Machine-Learning
Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.
☆13Updated 4 years ago
Alternatives and similar repositories for Machine-Learning:
Users that are interested in Machine-Learning are comparing it to the libraries listed below
- Keras Implementation Residual Attention Network☆40Updated 5 years ago
- Video classification using the UCF101 dataset for action recognition. We extract SIFT, MFCC and STIP features from the videos, we encode …☆28Updated 4 years ago
- Implementation of Squeeze-and-Excitiation Network on Keras☆22Updated 5 years ago
- Gluon implementation of channel-attention modules: SE, ECA, GCT☆39Updated 4 years ago
- Multi-modal classifications of digits with image and audio modality. One shot learning with Siamese network is used to predict if the giv…☆15Updated last year
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 6 years ago
- Multimodal classification solution for the SIGIR eCOM using Co-attention and transformer language models☆19Updated 4 years ago
- DEEP INTERPRETABLE ARCHITECTURE FOR PLANT DISEASES CLASSIFICATION☆17Updated 4 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- My solution to the International Skin Imaging Collaboration (ISIC) Challenge 2018 to detect skin cancer from images of lesions using Deep…☆12Updated 6 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNN…☆10Updated 2 years ago
- ☆19Updated 3 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- keras_example_with_confusion_matrix☆20Updated 7 years ago
- Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier wit…☆31Updated 6 years ago
- Image segmentation is the process of dividing an image into multiple parts. It is typically used to identify objects or other relevant in…☆17Updated 5 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆46Updated 4 years ago
- Simple tensorflow-keras implementation of SKConv in Selective Kernel Networks☆30Updated 4 years ago
- TensorFlow implementation of "Selective Kernel Networks"☆14Updated 5 years ago
- Reimplementing SOTA convolution variants with Tensorflow 2.0.☆17Updated 4 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago
- Keras Functional API for multiple inputs and mixed data☆11Updated 6 years ago
- Generalized cross-modal NNs; new audiovisual benchmark (IEEE TNNLS 2019)☆25Updated 4 years ago
- Semi-supervised strategies based on Deep Learning to extract structure from images and improve supervised classification tasks.☆10Updated 4 years ago
- Image classification on lung and colon cancer histopathological images through Capsule Networks or CapsNets.☆11Updated 4 years ago
- Squeeze and Excitation network implementation.☆18Updated 5 years ago
- Covid-19 Detection Experiments☆36Updated 3 years ago
- 3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)☆22Updated 7 years ago
- Pytorch implementation of Siamese networks that learns to classify its inputs, the neural networks learns to differentiate between two pe…☆31Updated 5 years ago