jingpingjiao / siamese_cnn
Pytorch implementation of Siamese networks that learns to classify its inputs, the neural networks learns to differentiate between two people
☆31Updated 5 years ago
Alternatives and similar repositories for siamese_cnn:
Users that are interested in siamese_cnn are comparing it to the libraries listed below
- One-Shot Learning with Triplet CNNs in Pytorch☆93Updated 4 years ago
- my codes for learning attention mechanism☆50Updated 4 years ago
- An implementation of Contrastive Loss in PyTorch using Siamese Networks☆27Updated 4 years ago
- Squeeze and Excitation network implementation.☆18Updated 5 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆55Updated 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
- One Shot Learning Implementation☆42Updated 4 years ago
- The Objective is to implement Siamese Network for Face Recognition using Pytorch Lightning.☆18Updated 4 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
- One Shot learning, Siamese networks and Triplet Loss with Keras☆81Updated 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
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆71Updated 5 years ago
- Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️☆115Updated 2 years ago
- Signature verification system using Siamese networks☆114Updated 2 years ago
- Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets. I implemented this repo for a technical interview f…☆19Updated 6 years ago
- Various autoencoders with ResNet, DenseNet and U-Net implementations, as well as VAE and GAN implementations.☆38Updated last year
- implement Domain-Adversarial Training of Neural Networks☆60Updated 6 years ago
- A novel method for few shot learning☆51Updated 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
- ☆32Updated 4 years ago
- ResNet-1D and Variable Length Pooling for time series data like speech☆33Updated 6 years ago
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆131Updated last year
- Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset☆34Updated last year
- TF2 implementation of a domain adversarial neural network☆12Updated 5 years ago
- pytorch code of multi scale 1d resnet, we hope it will help your research☆218Updated 3 years ago
- Example of one shot learning and few shot learning with omniglot dataset.☆24Updated 3 years ago
- Metrics for measuring our multilabel model☆30Updated 6 years ago
- Replication of baselines that address incremental learning issues and definition of new approaches to overcome existing limitations☆15Updated 4 years ago
- Keras Implementation Residual Attention Network☆40Updated 5 years ago
- Unsupervised Domain Adaptation by Backpropagation☆37Updated last year