Reverse Dependencies of pytorch-metric-learning

The following projects have a declared dependency on pytorch-metric-learning:

• aisfx — Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• bioencoder — A metric learning toolkit
• efficient-ocr — Efficient OCR
• entity-embed — Transform entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
• kazu — Biomedical Named Entity Recognition and Entity Linking for Enterprise use cases
• pai-easycv — EasyCV framework
• powerful-benchmarker — A PyTorch library for benchmarking deep metric learning. It's powerful.
• pyannote.audio — Neural building blocks for speaker diarization
• pytorch-adapt — Domain adaptation made easy. Fully featured, modular, and customizable.
• qs-kpa — Quantitative Summarization – Key Point Analysis
• quaterion — Similarity Learning fine-tuning framework
• testgailbot002 — GailBot API
• testgailbotapi — GailBot Test API
• testgailbotapi001 — GailBot Test API
• torch-points3d — Point Cloud Deep Learning Extension Library for PyTorch
• wildlife-tools — Tools for using wildlife re-identification datasets.
• xmen — An extensible toolkit for Cross-lingual (x) Medical Entity Normalization.
• zhijian — ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse