lesleyping / Machine-LearningLinks
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
Sorting:
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- Implementation of Squeeze-and-Excitiation Network on Keras☆22Updated 5 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 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 2 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…☆30Updated 7 years ago
- Code for the paper: "Deep Network Ensemble Learning applied to Image Classification using CNN Trees"☆9Updated 3 months ago
- Image feature selection performed by using white and black box algorithms☆25Updated 3 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- ☆19Updated 4 years ago
- my codes for learning attention mechanism☆50Updated 5 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆47Updated 4 years ago
- Simple tensorflow-keras implementation of SKConv in Selective Kernel Networks☆30Updated 4 years ago
- Surface crack images classification using PyTorch Lightning☆11Updated 5 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆10Updated 6 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
- Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification☆13Updated 5 years ago
- Keras Implementation Residual Attention Network☆41Updated 5 years ago
- TensorFlow implementation of "Selective Kernel Networks"☆14Updated 5 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 4 years ago
- DEEP INTERPRETABLE ARCHITECTURE FOR PLANT DISEASES CLASSIFICATION☆17Updated 5 years ago
- Wavelet CNN, Texture Classification in Keras☆53Updated 3 years ago
- HyFormer: Hybrid Transformer and CNN For Pixel-level Multispectral Image Classification☆12Updated 2 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- simple implements Non-Local Neural Networks for image classification(Fashion-Mnist)☆13Updated 6 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- AgeRegression tries to guess the age of a person from their photo! Its a basic example of how to use a CNN for regression in pytorch.☆18Updated 4 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago
- Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound☆31Updated 2 years ago
- Example code to train a Graph Neural Network on the MNIST dataset in PyTorch for Digit Classification☆28Updated 5 years ago
- Bilinear CNN implementation in keras.☆28Updated 5 years ago