cgtuebingen/ggnn
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
This tool helps data scientists and machine learning engineers quickly find the most similar data points within extremely large datasets. It takes high-dimensional data as input and outputs the closest matches (nearest neighbors), using powerful GPU acceleration to handle billions of data points efficiently. It's ideal for tasks requiring rapid similarity searches on massive scales.
170 stars. No commits in the last 6 months.
Use this if you need to perform high-speed nearest neighbor searches on very large, high-dimensional datasets using NVIDIA GPUs.
Not ideal if you don't have access to CUDA-capable GPUs or if your datasets are small enough for CPU-based methods.
Stars
170
Forks
27
Language
Cuda
License
Apache-2.0
Category
Last pushed
Feb 11, 2025
Commits (30d)
0
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