TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
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Updated
May 6, 2024 - Python
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
Metric learning and retrieval pipelines, models and zoo.
Blazing fast framework for fine-tuning similarity learning models
A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.
Type4Py: Deep Similarity Learning-Based Type Inference for Python
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning
This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
A Python implementation of similarity network fusion by Wang et al, 2014 (https://doi.org/10.1038/nmeth.2810)
Unsupervised Video Summarization via Successor Embeddings
Robust representations of oil wells' intervals via sparse attention mechanism
This Github repository contains code submitted as an entry for the AI Hackathon hosted by Analytics Club, IIT Bombay in collaboration with EarlySalary.
Official Code for "Registration Quality Evaluation Metric with Self-Supervised Siamese Networks"
Хакатон "Лидеры цифровой трансформации 2023". Задача №5. Поиск одинаковых товаров на маркетплейсе.
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
Just prepare config file and start training your metric learning model with ease
High-Dimensional Similarity Learning
Automatic MILP solver configuration by learning problem similarities
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