JSONFeed
tfjs-models
Our great sponsors
JSONFeed | tfjs-models | |
---|---|---|
7 | 50 | |
31 | 13,716 | |
- | 1.3% | |
0.0 | 8.0 | |
almost 7 years ago | 3 days ago | |
Swift | TypeScript | |
MIT License | Apache License 2.0 |
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.
JSONFeed
-
Make your web feed easy to find, autodiscoverable even
If you have a web feed, be it RSS or Atom or JSON Feed, help others discover it!
-
How to Parse RSS Feed in Javascript
Imagine you have an RSS feed similar to this. The objective is to obtain that RSS feed, analyze the data it contains, and take action with it. RSS is an XML format, whereas JSON is arguably easier to work with than XML. While many APIs provide JSON results, RSS is less likely to receive them, despite their existence.
-
Is Astro ready for your blog?
At least for now, Astro clearly falls short in this category. Its built-in ability to provide RSS feeds is rather limited, and it doesnโt yet enable JSON feeds at all.5 In the meantime, some users, including Yours Truly, have gotten around this by using the third-party feed package, which supports RSS and JSON feeds.6
-
reader 2.0 released โ a Python feed reader library
want to also support JSON Feed?
-
Natural language search for blog posts using TensorflowJS
-------- # Metadata comes from _data/metadata.json permalink: "{{ metadata.jsonfeed.path | url }}" eleventyExcludeFromCollections: true -------- { "version": "https://jsonfeed.org/version/1", "title": "{{ metadata.title }}", "home_page_url": "{{ metadata.url }}", "feed_url": "{{ metadata.jsonfeed.url }}", "description": "{{ metadata.description }}", "author": { "name": "{{ metadata.author.name }}", "url": "{{ metadata.author.url }}" }, "items": [ {%- for post in collections.posts | reverse %} {%- set absolutePostUrl %}{{ post.url | url | absoluteUrl(metadata.url) }}{% endset -%} { "id": "{{ absolutePostUrl }}", "url": "{{ absolutePostUrl }}", "title": "{{ post.data.title }}", "tags": [ {%- for tag in helpers.removeCollectionTags(post.data.tags) -%} "{{tag}}" {%- if not loop.last %}, {%- endif %} {%- endfor %}], "summary": "{{ post.data.description }}", "content_html": {% if post.templateContent %}{{ post.templateContent | dump | safe }}{% else %}""{% endif %}, "date_published": "{{ post.date | rssDate }}" } {%- if not loop.last -%} , {%- endif -%} {%- endfor %} ] }
-
Two undocumented Intel x86 instructions discovered that can be used to modify microcode
Your wish is my command.
- Kill the Newsletter Convert Newsletters into Atom Feeds
tfjs-models
-
Running a TensorFlow object detector model and drawing boxes around objects at 60 FPS - all in React Native / JavaScript!
I am wondering, will this also work with tensoflow.js or only tflite? I'd like to use this hand pose estimation from mediapipe: https://github.com/tensorflow/tfjs-models/tree/master/hand-pose-detection
-
ML tool to read PDF file and answer questions from its content
I got the basic concept working using TensorFlow QnA model but the answers don't seem very accurate. Infact, unless you specifically ask the exact question, you dont get the right answer. Its not intelligent enough because the entire PDF content becomes a bag of words instead of having context to those words. for eg. When someone types "languages", it should search within a section named Languages.
-
React + Tensorflow.js , a cool recipe for AI powered applications
I think you are beginning to connect the dots by now ๐ What we will do is to build a small proof-of-concept (POC) by writing a simple react app and hook up a pre-trained tensorflow.js model, The text toxicity model to "moderate" the user's text input and show a notification of what's wrong with it, a text toxicity meter if you will...
-
Chat moderation in Daily using TensorFlow.js
TensorFlow.js is a JavaScript library developers can use to run pre-trained machine-learning models in the browser. The library has a variety of models for tasks such as object identification and language processing. One of these models is the text toxicity detection model.
-
Racial slurs list? I need some guidance!
TensorFlow has a toxicity classification model available. I don't find it to work that well, but it does something. Not sure if it works in other languages than English. Tried the demo with some offensive Dutch and it passed it.
- Does tensorflow offer a 3d meshing model for body parts?
-
Seeking Advice on Resources for Creating an Image Analysis and Manipulation AI
No clue if it will work on drawn images. It depends on what the model was trained on. The models github is a good place to get started on figuring that out: https://github.com/tensorflow/tfjs-models/tree/body-pix-v2.0.4/body-pix
-
[AskJS] Rate a string on how much sense it makes
You probably want to check out something like tensorflow https://github.com/tensorflow/tfjs-models where you can build and test your models.
-
Chat moderation in Wix with TensorflowJS and Velo
I decided to start with the toxicity model OOTB demo code for simplicity. You can find this code in their Github repo.
- Buenas! Necesito ideas para tesis de la carrera de desarrollo de software
What are some alternatives?
FeedKit - An RSS, Atom and JSON Feed parser written in Swift
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
Erik - Erik is an headless browser based on WebKit. An headless browser allow to run functional tests, to access and manipulate webpages using javascript.
ml5-library - Friendly machine learning for the web! ๐ค
SwiftyConfiguration - Modern Swift API for Plist.
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
SwiftCssParser - A Powerful , Extensible CSS Parser written in pure Swift.
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
CoreXLSX - Excel spreadsheet (XLSX) format parser written in pure Swift
tensorflow-bodypix-sample
AcknowledgementsPlist - AcknowledgementsPlist manages the licenses of libraries that depend on your iOS app.
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.