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Description

Lepton is an open-source initiative hosted on GitHub, available for free without an option for donations. Instead, contributions can be directed to the Wikimedia Foundation, which promotes free knowledge through Wikipedia and its associated projects globally. The application utilizes GitHub APIs to identify the language being used. It features a centralized configuration file that is read during the app's startup process and is not generated automatically. Lepton operates purely as a desktop client for GitHub Gist, lacking any independent service; all information is stored either locally or on the GitHub Gist platform. To use it, you will need to create a GitHub token with Gist permissions and input this token along with other settings into the enterprise section of the Lepton config file. Moreover, Lepton offers a well-structured description area that supports both titles and tagging, allowing users to categorize their gists by language and personalized tags. The application also supports Markdown rendering, enhancing the user experience, and as an additional benefit, it can double as a markdown note-taking tool, providing access from anywhere. This versatility makes Lepton a valuable resource for developers and note-takers alike.

Description

LexVec represents a cutting-edge word embedding technique that excels in various natural language processing applications by factorizing the Positive Pointwise Mutual Information (PPMI) matrix through the use of stochastic gradient descent. This methodology emphasizes greater penalties for mistakes involving frequent co-occurrences while also addressing negative co-occurrences. Users can access pre-trained vectors, which include a massive common crawl dataset featuring 58 billion tokens and 2 million words represented in 300 dimensions, as well as a dataset from English Wikipedia 2015 combined with NewsCrawl, comprising 7 billion tokens and 368,999 words in the same dimensionality. Evaluations indicate that LexVec either matches or surpasses the performance of other models, such as word2vec, particularly in word similarity and analogy assessments. The project's implementation is open-source, licensed under the MIT License, and can be found on GitHub, facilitating broader use and collaboration within the research community. Furthermore, the availability of these resources significantly contributes to advancing the field of natural language processing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub
Jupyter Notebook
Markdown

Integrations

GitHub
Jupyter Notebook
Markdown

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Lepton

Website

hackjutsu.com/Lepton/

Vendor Details

Company Name

Alexandre Salle

Country

Brazil

Website

github.com/alexandres/lexvec

Product Features

Product Features

Alternatives

Alternatives

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