Pranav JadhavMetric Learning for ClassificationWhat started as a company research project, developed into a personal side project. Initial idea was to approach a classification problem…May 17
Yusuf SarıgözinTowards Data ScienceTriplet Loss — Advanced IntroWhat are the advantages of Triplet Loss over Contrastive loss, and how to efficiently implement it?Mar 24, 20222
Sthanikam SanthoshUnveiling the Power of Metric Learning in AI: Custom Embedding odelIn the dynamic landscape of artificial intelligence (AI) and machine learning (ML), the quest for efficient and scalable solutions to…Mar 30Mar 30
Aleksey ShabanovPractical Metric LearningThis post is related to the recent release of a new open-source project called OpenMetricLearning (OML), and one of its goals is to lower…Nov 22, 2022Nov 22, 2022
Vladimir KochetkovSpeaker Recognition. How to search using voice.In this article we will speak about one of the Metric Learning tasks — Speaker Recognition. How we measure quality of search in DataBaseDec 6, 2023Dec 6, 2023
Pranav JadhavMetric Learning for ClassificationWhat started as a company research project, developed into a personal side project. Initial idea was to approach a classification problem…May 17
Yusuf SarıgözinTowards Data ScienceTriplet Loss — Advanced IntroWhat are the advantages of Triplet Loss over Contrastive loss, and how to efficiently implement it?Mar 24, 20222
Sthanikam SanthoshUnveiling the Power of Metric Learning in AI: Custom Embedding odelIn the dynamic landscape of artificial intelligence (AI) and machine learning (ML), the quest for efficient and scalable solutions to…Mar 30
Aleksey ShabanovPractical Metric LearningThis post is related to the recent release of a new open-source project called OpenMetricLearning (OML), and one of its goals is to lower…Nov 22, 2022
Vladimir KochetkovSpeaker Recognition. How to search using voice.In this article we will speak about one of the Metric Learning tasks — Speaker Recognition. How we measure quality of search in DataBaseDec 6, 2023
Ivan PanshininTowards Data ScienceHow to use metric learning: embedding is all you needFind out what’s the difference between regular classification and metric learning, and try it for yourself with my implementation of…Feb 2, 20211
Mikhail KorotkovNiche search: Enhancing Instagram Account Search with Metric Learning and QdrantThis article describes the process of developing a multimodal vector search pipeline for Instagram accounts using Qdrant vector storage.Nov 18, 2023
Jay PatelinTowards Data ScienceDigging Deeper into Metric Learning with Loss FunctionsAn introductory note on Metric Learning Loss functions.Nov 12, 20192
