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This is a super fast and still super effective approximate method for computing nearest neighbors and is especially useful for all-neighbors methods. We have had a plan to implement this for awhile bu…
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Does anyone know of any similar implementations that uses something like Faiss to improve the performance of the nearest neighbour step of the calculation? If not is it something that would be reasona…
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Locality Sensitive Hashing will allow similar events to be discovered.
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https://colobu.com/2018/08/16/locality-sensitive-hashing/
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With the `refactor` we are losing the capacity to know what a particular device contains in a quick way (i.e. SCK2.1 + CO2).
The blueprint concept allowed us to make device configurations and put a…
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* Map 中的 hash
* 区块链中的 hash
* 集群分片
* MapReduce partition
* Kafka Locality Sensitive Hashing
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**Is your feature request related to a problem? Please describe.**
It is nice to be able to use `block_by` to filter out some comparisons before computing the string similarity. Currently, it is limi…
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Hi, Davis! First of all thank You for a nice job!
I'm interested in developing the python direction of Dlib. Therefore, I have the following request.
Could You implement a python binding for working…
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this is useful for two reasons:
- it allows seeding non-exact matches, which in turn allows capturing potentially interesting matches where most (or none!) of the match is exact
- it helps us solve …
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I have already seen several times that it is often required to quickly compare two sets of UAST nodes.
The naive approach is to compare each to each which is O(n^2). If we had a standard way to hash …