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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
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