dbaranchuk / learning-to-route
Code for ICML2019 paper: Learning to Route in Similarity Graphs
☆58Updated 6 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☆20Updated 4 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
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆72Updated 4 years ago
- Fast search algorithm for product-quantized codes via hash-tables☆52Updated 6 years ago
- Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"☆49Updated 4 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆55Updated 9 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 4 years ago
- PQ Fast Scan☆60Updated 5 years ago
- Differentiable Product Quantization for End-to-End Embedding Compression.☆59Updated 2 years ago
- Code for ICML2020 paper: ''Graph-based Nearest Neighbor Search: From Practice to Theory''☆18Updated 4 years ago
- Accurate and Fast ALSH for Maximum Inner Product Search (KDD 2018)☆26Updated 3 years ago
- Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…☆59Updated 4 years ago
- Learning-based Approximate k-NN Search in Graph Databases☆10Updated 3 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- Large Scale Search Index☆29Updated last year
- an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework☆92Updated 5 years ago
- To Index or Not to Index: Optimizing Exact Maximum Inner Product Search☆26Updated 5 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
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆60Updated 6 years ago
- Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)☆28Updated 3 years ago
- Source code for learning and evaluation different quantzation methods☆26Updated 9 years ago
- Search with a hash index☆33Updated 5 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 8 years ago
- This is the implementation of the Hierarquical Clustering-based Nearest Neighbor Graphs☆17Updated 4 years ago
- Large Scale Graphical Model☆24Updated 6 years ago
- GGNN: State of the Art Graph-based GPU Nearest Neighbor Search☆148Updated this week
- SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.☆67Updated 2 years ago
- ☆31Updated 7 years ago
- Benchmark of Nearest Neighbor Search on High Dimensional Data☆205Updated 3 years ago