TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
-
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
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
Just prepare config file and start training your metric learning model with ease
Automatic MILP solver configuration by learning problem similarities
A deep evolutionary learning framework for discovering stable and synthesizable energy (perovskite) materials.
Self-Supervised Similarity Learning of Floor Layouts
Add a description, image, and links to the similarity-learning topic page so that developers can more easily learn about it.
To associate your repository with the similarity-learning topic, visit your repo's landing page and select "manage topics."