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Awesome-metric-learning Alternatives
Similar projects and alternatives to awesome-metric-learning
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qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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contract-discovery
Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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ChatGPT-Plugins
Repo for giving ChatGPT the ability to use web browsing, python code execution, and custom plugins (by serp-ai)
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ChatLLaMA-and-ChatGPT-Desktop-App
A desktop application written in PyQT5 (python). Has support for using openai chatGPT as well as using a locally running llama model. Local has support for inferencing in 8-bit as well as 4/3/2 bit inferencing (model must already be quantized).
awesome-metric-learning reviews and mentions
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Create Your Own Custom Plugins for ChatGPT 🎉 Browse the Web, Execute Code, Use APIs 🛠️
And, for resources on similarity learning at large, you may want to check out this annotated list: https://github.com/qdrant/awesome-metric-learning
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Similarity Learning lacks a framework. So we built one
Some loss functions such as ArcFace loss and CosFace loss enforce the encoder model to organize their latent space in such a way that categories are placed with an angular margin from one another. Thus the model implicitly learns a continuous distance function.
Fun fact, one of the examples in Quaterion is for similar cars search.
If you find this topic and want to discover more, we collected a bunch of resources that might be helpful. https://github.com/qdrant/awesome-metric-learning
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Awesome Metric Learning!
The Metric Learning approach to data science problems is heavily underutilized. There are a lot of academic papers around it but much fewer practical guides and tutorials. So we decided that we could help people adopt metric learning by collecting related materials in one place. We are publishing a curated list of awesome practical metric learning tools, libraries, and materials - https://github.com/qdrant/awesome-metric-learning This collection aims to put together references to all required materials for building your application using Metric Learning. It is open-source, PR's are more than welcome!
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A note from our sponsor - SaaSHub
www.saashub.com | 2 May 2024
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qdrant/awesome-metric-learning is an open source project licensed under Creative Commons Zero v1.0 Universal which is not an OSI approved license.
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