official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

Dimensionality reduction in very large datasets using Siamese Networks

OneShot Learning-based hotword detection.

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Writer independent offline signature verification using convolutional siamese networks

Siamese network for bearing fault diagnosis

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

A simple, easy-to-use and flexible siamese neural network implementation for Keras

One-shot Siamese Neural Network, using TensorFlow 2.0, based on the work presented by Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov. we used the “Labeled Faces in the Wild” dataset with over 5,700 different people. Some people have a single image, while others have dozens.

Re-implementation of Mueller's et al., "Siamese Recurrent Architectures for Learning Sentence Similarity." (AAAI, 2016)

A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.

Google QUEST Q&A Labeling Kaggle Competition 6th Place Solution

One Shot Learning Implementation

Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.

Face Recognition Model trained with Siamese Network and Triplet Loss function in TensorFlow

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

A system to recognize whether signatures are forged or real.

The SiameseFC combined with Kalman Filter and Correlation Filter

Baseline approach to Change Detection using deep learning and Siamese CNNs