Library for metric learning pipelines and models.
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Updated
May 25, 2024 - Jupyter Notebook
Library for metric learning pipelines and models.
Official Code for "Registration Quality Evaluation Metric with Self-Supervised Siamese Networks"
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Robust representations of oil wells' intervals via sparse attention mechanism
Just prepare config file and start training your metric learning model with ease
Blazing fast framework for fine-tuning similarity learning models
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
Unsupervised Video Summarization via Successor Embeddings
A deep evolutionary learning framework for discovering stable and synthesizable energy (perovskite) materials.
PyTorch model that uses triplet loss to find the image with most similar skin condition
Prognostics Strategies: Residual Similarity-Based Models
Type4Py: Deep Similarity Learning-Based Type Inference for Python
Automatic MILP solver configuration by learning problem similarities
Хакатон "Лидеры цифровой трансформации 2023". Задача №5. Поиск одинаковых товаров на маркетплейсе.
Robust representations of oil wells' intervals via sparse attention mechanism
Webspeak to English statistical + neural hybrid machine translation model.
[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning
This Github repository contains code submitted as an entry for the AI Hackathon hosted by Analytics Club, IIT Bombay in collaboration with EarlySalary.
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.
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