Official Code for "Registration Quality Evaluation Metric with Self-Supervised Siamese Networks"
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Updated
May 19, 2024 - Jupyter Notebook
Official Code for "Registration Quality Evaluation Metric with Self-Supervised Siamese Networks"
This Github repository contains code submitted as an entry for the AI Hackathon hosted by Analytics Club, IIT Bombay in collaboration with EarlySalary.
I have started getting quite interesting in the concept of Natural Language Processing and tried to implement and understand this concept from a blog i read from towardsdatascience.com
Similarity between faces: One person resembles another person to a large degree. This can lead to many problems facing security surveillance systems. Facial recognition systems have difficulty distinguishing between the main person and other people who are highly similar in terms of features.
Self-Supervised Similarity Learning of Floor Layouts
Хакатон "Лидеры цифровой трансформации 2023". Задача №5. Поиск одинаковых товаров на маркетплейсе.
Webspeak to English statistical + neural hybrid machine translation model.
A deep evolutionary learning framework for discovering stable and synthesizable energy (perovskite) materials.
A Python implementation of similarity network fusion by Wang et al, 2014 (https://doi.org/10.1038/nmeth.2810)
Prognostics Strategies: Residual Similarity-Based Models
PyTorch model that uses triplet loss to find the image with most similar skin condition
Robust representations of oil wells' intervals via sparse attention mechanism
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
Automatic MILP solver configuration by learning problem similarities
Unsupervised Video Summarization via Successor Embeddings
High-Dimensional Similarity Learning
Robust representations of oil wells' intervals via sparse attention mechanism
Just prepare config file and start training your metric learning model with ease
This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
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