| ▲ | E-means: 10x faster k-means at equal loss(e-means.github.io) | |||||||
| 108 points by porridgeraisin 2 hours ago | 4 comments | ||||||||
| ▲ | Luke2642 7 minutes ago | parent | next [-] | |||||||
This is a great example of why p=np is sometimes the wrong question. For this np hard problem approximate solutions are good enough, and if you get them 45x faster that's even better! | ||||||||
| ▲ | real_faxenoff 39 minutes ago | parent | prev | next [-] | |||||||
I adapted the method to my IVF index (the code-daemon project) and achieved a 146x speedup on the GPU. That's impressive! | ||||||||
| ▲ | wood_spirit an hour ago | parent | prev [-] | |||||||
This looks awesome. Obvious in hindsight! The viz really explains it well. Hope it gets added to scipy - it’s much more available in the envs many use than facebooks own faiss library. | ||||||||
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