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Title:
GitHub - yahoo/lopq: Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
Description:
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark. - yahoo/lopq
Website Age:
17 years and 9 months (reg. 2007-10-09).
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🚀🌠 Tremendous Traffic: 10M - 20M visitors per month
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Keywords {🔍}
lopq, python, quantization, codes, product, code, data, search, coarse, license, vector, spark, locally, training, nearest, neighbor, query, optimized, approximate, fine, index, readme, distance, terms, refer, residuals, tox, navigation, repository, commit, conduct, apache, vectors, application, process, quantized, subvectors, independently, variance, vocabularies, pair, cluster, projected, local, final, indexed, cell, cells, implemented, information,
Topics {✒️}
gr/iva/research/lopq/ final lopq code nearest neighbor search conduct code nearest neighbor index lopq quantization process lopq python module conduct apache-2 coarse code bucket 0 license code high dimensional data apache license hierarchical quantization algorithm excellent properties locally projected independently product quantization testing code code provided pip install tox locally projected data quantizations occur independently scale parameter fitting subquantizer centroids indexed inverted multi-index lopq codes approximate euclidean distance commit message k-means quantizers local rotations make priority-ordered sequence index storage requirements raw data vector query-time latencies search index search backends nn search product quantized [2] product quantized repository coarse quantization lopq subsequent quantization approximate vector performance benchmarks license file docs python training python/ directory final time scale training
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