DBAIWangGroup / nns_benchmarkLinks
Benchmark of Nearest Neighbor Search on High Dimensional Data
☆207Updated 3 years ago
Alternatives and similar repositories for nns_benchmark
Users that are interested in nns_benchmark are comparing it to the libraries listed below
Sorting:
- an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework☆95Updated 5 years ago
- A library for k-nearest neighbor search☆385Updated last year
- fast library for ANN search and KNN graph construction☆294Updated 7 years ago
- PQ Fast Scan☆62Updated 6 years ago
- Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors☆209Updated 5 years ago
- Navigating Spreading-out Graph For Approximate Nearest Neighbor Search☆679Updated last year
- Research code implementing inverted multiindex structure☆83Updated 11 years ago
- Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search☆40Updated 6 years ago
- Implementation of HNSW that supports online updates☆66Updated 7 years ago
- code for satellite system graphs☆120Updated last year
- LSH-GPU ANN package☆94Updated 6 years ago
- GGNN: State of the Art Graph-based GPU Nearest Neighbor Search☆161Updated 4 months ago
- GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016☆92Updated 6 years ago
- SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.☆69Updated last month
- Fast search algorithm for product-quantized codes via hash-tables☆53Updated 6 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆55Updated 10 years ago
- Search with a hash index☆33Updated 6 years ago
- A c++ toolbox of locality-sensitive hashing (LSH), provides several popular LSH algorithms, also support python and matlab.☆288Updated 7 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- Implementation of Efficient K-NN Graph Construction Algorithm NN-Descent in C++☆30Updated 8 years ago
- Pure python implementation of product quantization for nearest neighbor search☆345Updated 2 weeks ago
- ☆160Updated 8 years ago
- A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search☆72Updated 4 years ago
- Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Pyth…☆567Updated 6 years ago
- Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning☆21Updated 5 years ago
- Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"☆54Updated 4 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆58Updated 10 months ago
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆61Updated 6 years ago
- Framework for evaluating ANNS algorithms on billion scale datasets.☆379Updated last month
- Graph Library for Approximate Similarity Search☆121Updated 2 weeks ago