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.
Organizes foundational embedding research across word-level (Word2Vec, GloVe, FastText), contextual (ELMo, BERT), and sentence/document models, with curated links to landmark papers, evaluation benchmarks, and pre-trained model repositories. Covers the evolution from count-based to neural prediction methods, including critical evaluation frameworks that distinguish intrinsic versus extrinsic performance metrics. Aggregates training datasets (Wikipedia), benchmark suites (SemEval, WordSimilarity-353), and downloadable model implementations across TensorFlow Hub and AllenNLP.
About awesome-2vec
MaxwellRebo/awesome-2vec
Curated list of 2vec-type embedding models
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