awesome-embedding-models and awesome-2vec
These are ecosystem siblings—one is a broad curated index of embedding model resources across all types, while the other is a specialized subset focusing specifically on 2vec-family models (Word2Vec, Doc2Vec, etc.).
About awesome-embedding-models
Hironsan/awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities.
This is a curated list of resources for those interested in understanding and applying embedding models. It gathers academic papers, researcher profiles, online courses, datasets, and practical implementations. Data scientists, machine learning engineers, and NLP practitioners can use this list to find information on creating numerical representations of text, like words or sentences, for various natural language processing tasks.
About awesome-2vec
MaxwellRebo/awesome-2vec
Curated list of 2vec-type embedding models
This is a curated collection of resources for '2vec' embedding models, which are techniques to represent complex real-world data like words, documents, or even biological molecules as numerical vectors. It helps you find relevant models and implementations (often in Python) for your specific data type. Anyone working with unstructured data who needs to convert it into a structured, comparable format for analysis or machine learning would find this useful.
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