twistedcubic / learn-to-hashLinks
Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
☆73Updated 4 years ago
Alternatives and similar repositories for learn-to-hash
Users that are interested in learn-to-hash are comparing it to the libraries listed below
Sorting:
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆58Updated last year
- Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search☆40Updated 7 years ago
- Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning☆21Updated 5 years ago
- GGNN: State of the Art Graph-based GPU Nearest Neighbor Search☆163Updated 7 months ago
- fast kernel evaluation in high dimensions via hashing☆23Updated 4 years ago
- Benchmark of Nearest Neighbor Search on High Dimensional Data☆209Updated 4 years ago
- Parameterless and Universal FInding of Nearest Neighbors☆59Updated 6 months ago
- Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"☆56Updated 5 years ago
- Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors☆213Updated 5 years ago
- Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search☆36Updated 6 years ago
- Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…☆59Updated 4 years ago
- PQ Fast Scan☆65Updated 6 years ago
- Kmeans Quantization + Random Projection based Locality Sensitive Hashing☆29Updated 6 years ago
- SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.☆70Updated 4 months ago
- Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)☆29Updated 4 years ago
- A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing☆23Updated last year
- an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework☆96Updated 2 weeks ago
- Fast search algorithm for product-quantized codes via hash-tables☆53Updated 7 years ago
- Large Scale Search Index☆31Updated 2 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆54Updated 10 years ago
- Search with a hash index☆33Updated 6 years ago
- Point-to-Hyperplane NNS Beyond the Unit Hypersphere (SIGMOD 2021)☆14Updated 4 years ago
- A fast header-only graph-based index for approximate nearest neighbor search (ANNS). https://flatnav.net☆35Updated 2 months ago
- Implementation of HNSW that supports online updates☆66Updated 7 years ago
- Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).☆39Updated 7 years ago
- Implements the frequent directions algorithm for approximating matrices in streams☆33Updated 8 years ago
- Anchor-t-SNE for large-scale and high-dimension vector visualization☆56Updated 6 years ago
- A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such a…☆158Updated last week
- Large Scale Graphical Model☆24Updated 6 years ago
- A framework for index based similarity search.☆19Updated 6 years ago