minhashcuda
MinHash calculator
An implementation of Weighted MinHash calculation on CUDA for efficient similarity estimation and compression of large data sets.
Weighted MinHash implementation on CUDA (multi-gpu).
114 stars
11 watching
24 forks
Language: C++
last commit: almost 3 years agoLinked from 1 awesome list
cudalshmachine-learningminhash
Related projects:
| Repository | Description | Stars |
|---|---|---|
| src-d/kmcuda | Optimized K-means and K-nn implementation using NVIDIA CUDA with low memory consumption | 809 |
 tlk00/bitmagic | A C++ library for compact data structures and algorithms optimized for memory efficiency and high performance | 413 |
 jpmckinney/tf-idf-similarity | A Ruby gem for calculating the similarity between texts using tf-idf weights. | 749 |
 abhimanyu003/qubit | An online calculator built with Rust and WebAssembly, supporting various mathematical operations and conversions. | 82 |
 uncomplicate/bayadera | Enables Bayesian data analysis and machine learning on graphics processing units (GPUs) to accelerate computational tasks. | 365 |
| src-d/wmd-relax | Calculates distances between documents based on word embeddings | 461 |
 metadelta/mdlt | A command-line utility for performing arithmetic and symbolic math operations. | 178 |
 mratsim/laser | A high-performance computing library providing optimized primitives for tensor and matrix operations | 281 |
 mirage/digestif | Tools for implementing various hash algorithms in multiple programming languages. | 87 |
 blas-lapack-rs/openblas-src | Provides source code for building BLAS and LAPACK libraries via OpenBLAS | 78 |
 rust-math/intel-mkl-src | A crate that redistributes and provides Rust bindings to Intel's Math Kernel Library (MKL) for scientific computations. | 82 |
 xtra-computing/thundergbm | Accelerates machine learning algorithms on GPUs to improve performance and efficiency | 695 |
 vladmrnv/statify | A ZSH plugin for performing basic math and statistical operations. | 4 |
 lrcfmd/elmd | Calculates similarity between chemical compositions based on the minimal work required to transform one distribution into another. | 31 |
 libmir/dcompute | Enables native execution of D programming language on GPUs and other accelerators using OpenCL and CUDA. | 138 |