dbaranchuk / learning-to-route
Code for ICML2019 paper: Learning to Route in Similarity Graphs
☆58Updated 8 months ago
Alternatives and similar repositories for learning-to-route:
Users that are interested in learning-to-route are comparing it to the libraries listed below
- Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning☆21Updated 5 years ago
- Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search☆40Updated 6 years ago
- Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search☆36Updated 5 years ago
- Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"☆51Updated 4 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- Fast search algorithm for product-quantized codes via hash-tables☆53Updated 6 years ago
- Code for ICML2020 paper: ''Graph-based Nearest Neighbor Search: From Practice to Theory''☆19Updated 4 years ago
- an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework☆93Updated 5 years ago
- Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…☆59Updated 4 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 4 years ago
- Fast C++ implementation of https://github.com/yahoo/lopq: Locally Optimized Product Quantization (LOPQ) model and searcher for approximat…☆34Updated 4 years ago
- ☆12Updated 6 years ago
- Source code for learning and evaluation different quantzation methods☆26Updated 9 years ago
- Accurate and Fast ALSH for Maximum Inner Product Search (KDD 2018)☆26Updated 3 years ago
- To Index or Not to Index: Optimizing Exact Maximum Inner Product Search☆26Updated 5 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆55Updated 9 years ago
- Differentiable Product Quantization for End-to-End Embedding Compression.☆60Updated 2 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆60Updated 6 years ago
- Benchmark of Nearest Neighbor Search on High Dimensional Data☆207Updated 3 years ago
- Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)☆28Updated 3 years ago
- Large Scale Search Index☆30Updated last year
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- PQ Fast Scan☆60Updated 5 years ago
- Reducing Dimensionality method for Nearest Neighbor Search☆14Updated 4 years ago
- Website for "Awesome Learning to Hash" https://learning2hash.github.io☆18Updated 4 months ago
- ☆31Updated 7 years ago
- Learning-based Approximate k-NN Search in Graph Databases☆11Updated 3 years ago
- Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"☆21Updated 6 years ago
- Search with a hash index☆33Updated 6 years ago