ann-benchmarks
ANN benchmark suite
A comprehensive benchmarking framework for evaluating the performance of approximate nearest neighbor search libraries in Python.
Benchmarks of approximate nearest neighbor libraries in Python
5k stars
118 watching
748 forks
Language: Python
last commit: 23 days ago benchmarkdockernearest-neighbors
Related projects:
Repository | Description | Stars |
---|---|---|
flann-lib/flann | A fast and efficient algorithm for finding the nearest neighbors in high-dimensional spaces | 2,250 |
nmslib/nmslib | An efficient similarity search library and toolkit for evaluation of k-NN methods in generic non-metric spaces | 3,414 |
microsoft/sptag | A distributed approximate nearest neighbor search library | 4,829 |
kristofferc/nearestneighbors.jl | A Julia package for efficient nearest neighbor searches in high-dimensional spaces | 426 |
nmslib/hnswlib | An efficient algorithm for fast approximate nearest neighbors search in high-dimensional spaces. | 4,382 |
lyst/rpforest | An efficient algorithm for finding approximate nearest neighbors in high-dimensional spaces | 223 |
plasma-umass/scalene | A high-performance Python profiler that analyzes CPU, GPU, and memory usage, providing detailed information and AI-powered optimization suggestions. | 12,186 |
prakhar1989/algorithms | An implementation of various algorithms and data structures in Python. | 3,053 |
hyperopt/hyperopt | A Python library for optimizing parameters of objective functions in distributed and parallel settings. | 7,258 |
graphdeeplearning/benchmarking-gnns | A collection of datasets and tools for evaluating graph neural networks | 2,523 |
spotify/annoy | A data structure and search algorithm for finding closest points in high-dimensional space | 13,255 |
patvarilly/covertree | A data structure library for finding nearest neighbors in a general metric space | 31 |
google/neural-tangents | A high-level neural network API for defining and training complex hierarchical networks of finite or infinite width | 2,278 |
benfred/implicit | Fast Python implementations of recommendation algorithms for implicit feedback datasets. | 3,561 |
eriklindernoren/ml-from-scratch | Provides implementations of fundamental machine learning models and algorithms from scratch in Python | 24,003 |