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rapidsai / raft

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
https://docs.rapids.ai/api/raft/stable/
Apache License 2.0
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[FEA] locality sensitive hashing / rp-trees #544

Open cjnolet opened 2 years ago

cjnolet commented 2 years ago

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 but I wanted to make a placeholder for it to keep it on the radar.

This will also allow us to bring over (and standardize upon) our random projection primitive (which can make better use of our new RNG API).

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.