LexVec

LexVec

Alexandre Salle
+
+

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About

LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. Evaluations demonstrate that LexVec matches or outperforms other models like word2vec in terms of word similarity and analogy tasks. The implementation is open source under the MIT License and is available on GitHub.

About

​ModelMatch is an online platform that allows users to compare top open source vision-language models for image-understanding tasks without the need for coding. Users can upload up to four images and input specific prompts to receive detailed analyses from multiple models simultaneously. It evaluates models ranging from 1 billion to 12 billion parameters, all of which are open source with commercial licenses. For each model, ModelMatch provides a quality score (1-10) based on the model's performance for the given use case, processing time metrics, and real-time status updates during processing.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Computational linguists and NLP researchers searching for a tool to improve their semantic analysis and language modeling

Audience

Data scientists and machine learning engineers requiring a tool to evaluate and compare open source vision-language models for image analysis tasks

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Alexandre Salle
Brazil
github.com/alexandres/lexvec

Company Information

ModelMatch
www.findbestmodel.app/

Alternatives

GloVe

GloVe

Stanford NLP

Alternatives

Pixtral Large

Pixtral Large

Mistral AI
GLM-4.1V

GLM-4.1V

Z.ai
word2vec

word2vec

Google
Ministral 3

Ministral 3

Mistral AI

Categories

Embedding Models Supported

Categories

AI Tools Supported

Integrations

Janus-Pro-7B Not Supported
Llama 3.2 Not Supported
Pixtral Large Not Supported

Integrations

Janus-Pro-7B Supported
Llama 3.2 Supported
Pixtral Large Supported
Claim LexVec and update features and information
Claim LexVec and update features and information
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Claim ModelMatch and update features and information