wink-nlp
echarts4r
| wink-nlp | echarts4r | |
|---|---|---|
| 21 | 3 | |
| 1,143 | 575 | |
| 1.0% | - | |
| 8.1 | 7.2 | |
| 9 days ago | 2 months ago | |
| JavaScript | JavaScript | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wink-nlp
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Show HN: Next-token prediction in JavaScript – build fast LLMs from scratch
This is awesome, thanks. I've been messing with wink's NLP library (https://winkjs.org/wink-nlp/) to transform user queries and format responses so I can make a proper chat bot - will see what I can learn from these!
- Show HN: WinkNLP introduces key sentence extraction
- WinkNLP's recent feature — key sentence extraction delivers a performance of over 450,000 tokens/second or 1500 sentences/second on Apple M1/16GB
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How to visualize timeline of a Wiki article?
Automatic generation of the timeline — a graphical representation of a time period, on which important events are marked — from a Wikipedia article is a fascinating idea and very useful in quickly grasping the historical perspective. This post outlines the approach to create a well formatted timeline from any Wikipedia article using WinkNLP’s API and Named Entity Recognition (NER) feature:
- WinkNLP delivers 600k tokens/second speed on browsers (MBP M1)
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Hacker News top posts: Nov 24, 2022
Show HN: WinkNLP delivers 600k tokens/second speed on browsers\ (2 comments)
- Show HN: WinkNLP delivers 600k tokens/second speed on browsers (MBP M1)
echarts4r
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A love letter to Apache Echarts
You can also use Apache Echarts through R with this package: https://echarts4r.john-coene.com/
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echarts4r VS echarty - a user suggested alternative
2 projects | 2 Jun 2022
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I'd like to know R but my immediate need is to make interactive charts in html format for web publication. Is ggplotly any good?
This might shock you, but open-source software is an open and collaborative effort. If you think that the example with two Y-axes undermines this entire project, you can go to the echarts4r github repository, open a pull request (the website is made via pkgdown), and propose improvements to the documentation. Maybe do something good instead??
What are some alternatives?
nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
plotly.js - Open-source JavaScript charting library behind Plotly and Dash
ml-classify-text-js - Machine learning based text classification in JavaScript using n-grams and cosine similarity
patchwork - The Composer of ggplots
wink-eng-lite-model - English lite language model for wink-nlp.
echarty - The goal of echarty is to provide a minimal interface, a “glue”, between R and ECharts, then let your R data lists build the chart. There are utilities included to assist with data preparation, Shiny with proxy and JS plugins. Have the full functionality of ECharts in R with minimal overhead!
Recognizers-Text - Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
DataTurks - ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
rnim - A bridge between R and Nim
wink-mqtt-rs - MQTT Relay for the Jailbroken Wink Hub v1, with Home Assistant MQTT autodiscovery support
r-shinylive-demo - Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)