55 skills found · Page 1 of 2
matsui528 / Faiss TipsSome useful tips for faiss
yahoo / LopqTraining of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
matsui528 / NanopqPure python implementation of product quantization for nearest neighbor search
lxa9867 / ImageFolderHigh-performance Image Tokenizers for VAR and AR
DwangoMediaVillage / PqkmeansFast and memory-efficient clustering
jina-ai / Annlite⚡ A fast embedded library for approximate nearest neighbor search
DeMoriarty / TorchPQApproximate nearest neighbor search with product quantization on GPU in pytorch and cuda
datavorous / SpheniLightweight Vector Search Library focused on Memory Efficiency
matsui528 / RiiFast and memory-efficient ANN with a subset-search functionality
uber-research / Permute Quantize FinetuneUsing ideas from product quantization for state-of-the-art neural network compression.
guenthermi / Postgres Word2vecutils to use word embedding models like word2vec vectors in a PostgreSQL database
jingtaozhan / RepCONCWSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
cgtuebingen / Product Quantization TreeGPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016
youngkyunJang / SPQSelf-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
HugoZHL / PQCache[SIGMOD 2025] PQCache: Product Quantization-based KVCache for Long Context LLM Inference
technicolor-research / Pq Fast ScanPQ Fast Scan
rixwew / Elasticsearch Approximate Nearest NeighborPlugin to integrate approximate nearest neighbor(ANN) search with Elasticsearch
chentingpc / Dpq Embedding CompressionDifferentiable Product Quantization for End-to-End Embedding Compression.
youngkyunJang / GPQGeneralized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020
xinyandai / Product QuantizationImplementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.