bert-for-inference VS tailscale

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

bert-for-inference

A small repo showing how to easily use BERT (or other transformers) for inference (by BramVanroy)
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tailscale

The easiest, most secure way to use WireGuard and 2FA. (by tailscale)
Wireguard OAuth SSO 2FA VPN tailscale
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bert-for-inference tailscale
1 1,006
92 16,535
- 2.7%
0.0 9.9
over 4 years ago 4 days ago
Jupyter Notebook Go
- BSD 3-clause "New" or "Revised" License
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.

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.

tailscale

Posts with mentions or reviews of tailscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-30.

What are some alternatives?

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

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

headscale - An open source, self-hosted implementation of the Tailscale control server

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

Netmaker - Netmaker makes networks with WireGuard. Netmaker automates fast, secure, and distributed virtual networks.

mtpng - A parallelized PNG encoder in Rust

netbird - Connect your devices into a single secure private WireGuard®-based mesh network with SSO/MFA and simple access controls.

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

ZeroTier - A Smart Ethernet Switch for Earth

map-generation

pivpn - The Simplest VPN installer, designed for Raspberry Pi

Kirby - Kirby's core application folder

Nebula - A scalable overlay networking tool with a focus on performance, simplicity and security

bert-for-inference vs Kaldi Speech Recognition Toolkit tailscale vs headscale bert-for-inference vs kaldi-gstreamer-server tailscale vs Netmaker bert-for-inference vs mtpng tailscale vs netbird bert-for-inference vs ChessPositionRanking tailscale vs ZeroTier bert-for-inference vs map-generation tailscale vs pivpn bert-for-inference vs Kirby tailscale vs Nebula