bert-for-inference
map-generation
bert-for-inference | map-generation | |
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1 | 1 | |
92 | 1 | |
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0.0 | 3.8 | |
over 4 years ago | over 2 years ago | |
Jupyter Notebook | JavaScript | |
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bert-for-inference
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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.
map-generation
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Ask HN: What problem are you close to solving and how can we help?
Related code on github if curious https://github.com/pollomarzo/map-generation/tree/main/graph
What are some alternatives?
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Nebula - A scalable overlay networking tool with a focus on performance, simplicity and security
Kirby - Kirby's core application folder
mu - Soul of a tiny new machine. More thorough tests → More comprehensible and rewrite-friendly software → More resilient society.