yuj-umd / fastsc
A fast implementation of spectral clustering on GPU-CPU Platform
☆31Updated 7 years ago
Alternatives and similar repositories for fastsc
Users that are interested in fastsc are comparing it to the libraries listed below
Sorting:
- Efficient graph clustering software for normalized cut and ratio association on undirected graphs. Copyright(c) 2008 Brian Kulis, Yuqiang…☆22Updated 12 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- Implements the frequent directions algorithm for approximating matrices in streams☆32Updated 7 years ago
- 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 9 years ago
- ☆37Updated 4 years ago
- Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search☆36Updated 5 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆58Updated 9 months ago
- C implementation of algorithms to find the Density-Friendly graph decomposition☆11Updated 5 years ago
- Library for performing spectral clustering in C++☆78Updated last year
- fast kernel evaluation in high dimensions via hashing☆23Updated 4 years ago
- Large Scale Graphical Model☆24Updated 6 years ago
- Light-weight GPU kernel interface for graph operations☆15Updated 4 years ago
- Building KNN Graph for Billion High Dimensional Vectors Efficiently☆21Updated 6 years ago
- A framework for index based similarity search.☆19Updated 6 years ago
- Tensor spectral clustering.☆29Updated 7 years ago
- Learning Graph Distances with Message PassingNeural Networks☆13Updated 9 months ago
- NetworkX Addon to allow graph partitioning with METIS☆78Updated 2 years ago
- HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent☆33Updated 8 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- To Index or Not to Index: Optimizing Exact Maximum Inner Product Search☆26Updated 6 years ago
- C++ library for graph kernel and edit distance algorithm☆15Updated 6 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- A fork of Sebastian Nowozin's and Koji Tsuda's gboost code☆17Updated 12 years ago
- Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.☆51Updated 11 years ago
- High Dimensional Approximate Near(est) Neighbor☆33Updated 7 years ago
- graph-based substructure pattern mining algorithm (authors: Xifeng Yan, Jiawei Han) implementation☆11Updated 7 years ago
- Implementation of Deep Soft-K means☆28Updated 4 years ago
- Anchor-t-SNE for large-scale and high-dimension vector visualization☆55Updated 5 years ago