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Decision brief
Curated list of various 2Vec embedding models, essential for specific AI applications needing diverse model approaches.
Good fit when
- Need a variety of pre-implemented 2Vec embedding models
- Looking to compare different 2Vec implementations quickly
Avoid when
- Seeking specialized, deep integration with a single embedding model type
- Project requires real-time tuning or development of unique 2Vec models
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1353d since push)
- As of today
- Provenance
- Not a fork · Personal account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/MaxwellRebo/awesome-2vecSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
MaxwellRebo/awesome-2vec provides a curated collection of 2Vec-type embedding models useful for various AI applications.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
awesome-2vec
Curated list of 2vec-type embedding models
If you know of 2vec-style models that are not mentioned here, please do a PR!
For network/graph-specific embedding models have a look here: https://github.com/chihming/awesome-network-embedding
The list
word2vec
Java: http://deeplearning4j.org/word2vec
C++: https://github.com/jdeng/word2vec
Python:
ASNE
Paper: https://arxiv.org/abs/2006.04941
Python: https://github.com/jisungyoon/persona2vec
MUSAE
Paper: https://arxiv.org/abs/1909.13021
Python: https://github.com/benedekrozemberczki/MUSAE
Python: https://github.com/benedekrozemberczki/karateclub
SINE
Paper: https://arxiv.org/abs/1810.06768
Python: https://github.com/benedekrozemberczki/SINE
Python: https://github.com/benedekrozemberczki/karateclub
GL2Vec
Paper: https://link.springer.com/chapter/10.1007/978-3-030-36718-3_1
Python: https://github.com/benedekrozemberczki/karateclub
Walklets
Paper: https://arxiv.org/abs/1605.02115
Python: https://github.com/benedekrozemberczki/walklets
Python: https://github.com/benedekrozemberczki/karateclub
Splitter
Paper: http://epasto.org/papers/www2019splitter.pdf
Python: https://github.com/benedekrozemberczki/Splitter
AttentionWalk
Paper: http://papers.nips.cc/paper/8131-watch-your-step-learning-node-embeddings-via-graph-attention
Python: https://github.com/benedekrozemberczki/AttentionWalk
role2vec
Paper: https://arxiv.org/abs/1802.02896
Python: https://github.com/benedekrozemberczki/role2vec
Python: https://github.com/benedekrozemberczki/karateclub
ASNE
Paper: https://arxiv.org/abs/1705.04969
Python: https://github.com/benedekrozemberczki/ASNE
diff2vec
Paper: https://arxiv.org/abs/2001.07463
Python: https://github.com/benedekrozemberczki/diff2vec
Python: https://github.com/benedekrozemberczki/karateclub
GEMSEC
Paper: https://arxiv.org/abs/1802.03997
Python: https://github.com/benedekrozemberczki/GEMSEC
doc2vec
Paper: https://cs.stanford.edu/~quocle/paragraph_vector.pdf
Python: https://radimrehurek.com/gensim/models/doc2vec.html
graph2vec
Paper: https://arxiv.org/abs/1707.05005
Python: https://github.com/benedekrozemberczki/graph2vec
Python: https://github.com/benedekrozemberczki/karateclub
tweet2vec
Paper: https://arxiv.org/abs/1605.03481
Python: https://github.com/bdhingra/tweet2vec
batter-pitcher-2vec
Python: https://github.com/airalcorn2/batter-pitcher-2vec
Soccer Team Vectors Paper: https://arxiv.org/abs/1908.00698
illustration-2vec
Python: https://github.com/rezoo/illustration2vec
lda2vec
Paper: https://arxiv.org/pdf/1605.02019v1.pdf
Python: https://github.com/cemoody/lda2vec
sentence2vec
Python: https://github.com/klb3713/sentence2vec
wiki2vec
Java/Scala: https://github.com/idio/wiki2vec
topicvec
Paper: http://bigml.cs.tsinghua.edu.cn/~jun/topic-embedding.pdf
Python: https://github.com/askerlee/topicvec
entity2vec
Python: https://github.com/ot/entity2vec
Paper: http://www.di.unipi.it/~ottavian/files/wsdm15_fel.pdf
str2vec
Python: https://github.com/pengli09/str2vec
node2vec
Paper: https://arxiv.org/abs/1607.00653
Page: https://snap.stanford.edu/node2vec/
Python: https://github.com/aditya-grover/node2vec
item2vec
Paper: https://arxiv.org/abs/1603.04259
author2vec
For agents
This page has a .md twin and JSON over the API.