testing-samples
bert-for-inference
Our great sponsors
| testing-samples | bert-for-inference | |
|---|---|---|
| 1 | 1 | |
| 9,105 | 92 | |
| 0.3% | - | |
| 4.9 | 0.0 | |
| 15 days ago | over 4 years ago | |
| Java | Jupyter Notebook | |
| 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.
testing-samples
-
Ask HN: What problem are you close to solving and how can we help?
https://github.com/android/testing-samples/blob/main/ui/espr...
https://github.com/android/testing-samples
Alternatively, Squish [3] is a very polished and more elegant commercial testing tool that lets you record test-cases using a GUI tool and convert them into (ideally modularized) methods that verify object properties or compare (masked) screenshots of the GUI:
[3] https://www.froglogic.com/squish/features/
Demo video: https://youtu.be/ElH-3MVHPRw?t=864
They abstract away a lot of the functionality using the Gherkin [4] domain-specific language so that tests are easier to read at a high level (but you can still dig down into the underlying programmatic implementation).
[4] https://cucumber.io/docs/guides/overview/
This is probably too much complexity for your use-case, but may provide some ideas or inspiration for what is possible.
bert-for-inference
-
Ask HN: What problem are you close to solving and how can we help?
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?
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
tailscale - The easiest, most secure way to use WireGuard and 2FA.
ChessPositionRanking - Software suite for ranking chess positions and accurately estimating the number of legal chess positions
Nebula - A scalable overlay networking tool with a focus on performance, simplicity and security
map-generation