🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
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Updated
Mar 11, 2024 - Python
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Library for metric learning pipelines and models.
Blazing fast framework for fine-tuning similarity learning models
Type4Py: Deep Similarity Learning-Based Type Inference for Python
A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.
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Just prepare config file and start training your metric learning model with ease
Robust representations of oil wells' intervals via sparse attention mechanism
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Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
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A Python implementation of similarity network fusion by Wang et al, 2014 (https://doi.org/10.1038/nmeth.2810)
Automatic MILP solver configuration by learning problem similarities
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
Хакатон "Лидеры цифровой трансформации 2023". Задача №5. Поиск одинаковых товаров на маркетплейсе.
Prognostics Strategies: Residual Similarity-Based Models
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