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

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

OneShot Learning-based hotword detection.

Writer independent offline signature verification using convolutional siamese networks

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

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.

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

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

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

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

Siamese network for bearing fault diagnosis

A system to recognize whether signatures are forged or real.

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

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

One Shot Learning Implementation

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.

Identify subjects from CCTV footages even when there are only limited number of photographs available for the suspected individuals. The system should work in near real time and even when there are partial occlusion, different pose, and physical changes like beard , eye-glasses and face masks .

Baseline approach to Change Detection using deep learning and Siamese CNNs

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.