FirstCollisionTimestepRarefiedGasSimulator
TorchPQ
| FirstCollisionTimestepRarefiedGasSimulator | TorchPQ | |
|---|---|---|
| 1 | 3 | |
| 1 | 203 | |
| - | - | |
| 0.0 | 3.5 | |
| over 1 year ago | 5 months ago | |
| Cuda | Cuda | |
| - | MIT License |
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FirstCollisionTimestepRarefiedGasSimulator
TorchPQ
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[D] Is there an open-source implementation of the Retrieval-Enhanced Transformer (RETRO)?
if you're decided to run nearest neighbor search on GPU, you might wanna give TorchPQTorchPQ a try
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[P] TorchPQ: Efficient Nearest Neighbor Search and Clustering on GPUs
TorchPQ is a python library for approximate nearest neighbor search on GPUs. It has efficient implementations of IVFPQ algorithm as well as some of its variants (e.g IVFPQ+R). The project is written mostly in python using pytorch library, with some custom CUDA kernels to accelerate clustering, searching and indexing.
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Are there more practical tools for KNN searches and storing documents/embeddings?
If you're using GPU for search, You can give TorchPQ a try, it's an ANN search library implemented with PyTorch and CUDA. with TorchPQ, you can freely add / remove vectors with IDs, you can save/load them just like a regular PyTorch model. TorchPQ is still in development, and I'd love to hear any suggestion or feedback.
What are some alternatives?
cub - [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
faiss - A library for efficient similarity search and clustering of dense vectors.
MegBA - MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
RETRO-pytorch - Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
cuhnsw - CUDA implementation of Hierarchical Navigable Small World Graph algorithm
nmslib - Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
Scalix - Scalix is a data parallel compute library that automatically scales to the available compute resources.
CUDA-Guide - CUDA Guide
deepmind-research - This repository contains implementations and illustrative code to accompany DeepMind publications
cugraph - cuGraph - RAPIDS Graph Analytics Library
DOKSparse - sparse DOK tensors on GPU, pytorch