OmkarThawakar / FuzzyMinMax
Fuzzy Min Max Neural Network Library
☆29Updated 6 years ago
Alternatives and similar repositories for FuzzyMinMax:
Users that are interested in FuzzyMinMax are comparing it to the libraries listed below
- A pytorch implementation of TSK fuzzy sytems.☆16Updated 5 years ago
- Fuzzy Deep Neural Network.☆56Updated 2 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆44Updated 5 years ago
- Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset☆14Updated 6 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 6 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
- Feature fusion using Canonical Correlation Analysis (CCA)☆49Updated 5 years ago
- Genetic Algorithm based optimization for CNN parameters☆11Updated 3 years ago
- ☆21Updated 2 weeks ago
- Theano implementation of Cost-Sensitive Deep Neural Networks☆26Updated 6 years ago
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 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
- Four commonly used operations on the symmetric positive definite manifold☆25Updated 2 years ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 2 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- This project is created in order to compare the differences between the convolutional neural network with and without Gabor's feature ext…☆10Updated 4 years ago
- The codes for the paper of "A particle swarm optimization-based flexible convolutional auto-encoder for image classification" published b…☆10Updated 4 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNN…☆11Updated 2 years ago
- pytorch implementation of transformer for 1D data☆40Updated 3 years ago
- The code of “Deep Spatial-Temporal Feature Fusion from Adaptive Dynamic Functional Connectivity for MCI Classification”☆10Updated 2 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆20Updated 6 years ago
- This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.☆18Updated 4 years ago
- Feature fusion using Discriminant Correlation Analysis (DCA)☆63Updated 5 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆88Updated 3 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆16Updated 3 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- A straightforward mechanism to implement cost sensitive losses in pytorch☆47Updated 2 years ago
- Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"☆30Updated last year