informed-citizen VS bert-for-inference

Compare informed-citizen vs bert-for-inference and see what are their differences.

informed-citizen

a system to keep citizens informed as they graze the airwaves (by dino-dna)

bert-for-inference

A small repo showing how to easily use BERT (or other transformers) for inference (by BramVanroy)
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informed-citizen bert-for-inference
1 1
1 92
- -
0.0 0.0
over 1 year ago over 4 years ago
TypeScript Jupyter Notebook
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

informed-citizen

Posts with mentions or reviews of informed-citizen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.
  • Ask HN: What problem are you close to solving and how can we help?
    17 projects | news.ycombinator.com | 29 Aug 2021
    I worked on a similar idea last year. What I did was take urls to content, scrape the content, and pipe it through a machine learning a evaluator to apply various labels and warnings to content. Lastly, add some nice embeddable UI to surface the report.

    I got it to a decent state, but didn’t know how to propagate it or inject it into social communities. I wanted people to be able to tag it on Facebook, and it would reply with an informational card with the analysis and summary.

    https://github.com/dino-dna/informed-citizen

bert-for-inference

Posts with mentions or reviews of bert-for-inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.
  • Ask HN: What problem are you close to solving and how can we help?
    17 projects | news.ycombinator.com | 29 Aug 2021
    Super vague answer:

    Put the questions in some semantic embedding space. Now you’ll have a vector representing each question. Then for each question, you can sort all the questions by how far the Euclidean distance is between their vectors. Or use some clustering algorithm like k means to find clusters.

    By Googling I found this to tutorial to put sentences in an embedding space: https://github.com/BramVanroy/bert-for-inference/blob/master...

    I did not read this and am not endorsing it, but it looks like it’s doing the right thing.

What are some alternatives?

When comparing informed-citizen and bert-for-inference you can also consider the following projects:

map-generation

Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.

mtpng - A parallelized PNG encoder in Rust

kaldi-gstreamer-server - Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.

ZeroTier - A Smart Ethernet Switch for Earth

ChessPositionRanking - Software suite for ranking chess positions and accurately estimating the number of legal chess positions

testing-samples - A collection of samples demonstrating different frameworks and techniques for automated testing

tailscale - The easiest, most secure way to use WireGuard and 2FA.

Kirby - Kirby's core application folder