lijiunderstand

lijiunderstand's Stars

• fundamentalvision/BEVFormer

  [ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

  Language:Python3.4k72270550

• vearch/vearch

  Distributed vector search for AI-native applications

  Language:Go2.1k77578331

• amzn/pecos

  PECOS - Prediction for Enormous and Correlated Spaces

  Language:Python5172079105

• facebookresearch/spreadingvectors

  Open source implementation of "Spreading Vectors for Similarity Search"

  Language:Python31815537

• HIPS/hypergrad

  Exploring differentiation with respect to hyperparameters

  Language:Python29542871

• bmc/munkres

  Munkres algorithm for Python

  Language:Python227132781

• DBAIWangGroup/nns_benchmark

  Benchmark of Nearest Neighbor Search on High Dimensional Data

  Language:C++20416853

• ZJULearning/SSG

  code for satellite system graphs

  Language:C++11371035

• Lsyhprum/WEAVESS

  A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search

  Language:C++631529

• DBAIWangGroup/SRS

  SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index

  Language:C++5410112

• stanis-morozov/ip-nsw

  Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search

  Language:C++405111

• yahoojapan/ngtd

  Serving NGT over HTTP or gRPC ※This project is not maintained. We have moved to a new product, [Vald](https://vald.vdaas.org) .

  Language:Go3811710

• whenever5225/GraphANNS

  Graph-based Approximate Nearest Neighbor Search Working off CGraph

  Language:C++31319

• TatsuyaShirakawa/nndescent

  Implementation of Efficient K-NN Graph Construction Algorithm NN-Descent in C++

  Language:C++30214

• jina-ai/executor-hnsw-postgres

  A production-ready, scalable Indexer for the Jina neural search framework, based on HNSW and PSQL

  Language:Python2924710

• weaviate/weaviate-benchmarking

  Tools for various benchmarking scenarios

  Language:Go279513

• rikonor/go-ann

  Approximate Nearest Neighbor using the MRPT algorithm

  Language:Go23506

• chen0031/AVX-AVX2-Example-Code

  Example code for Intel AVX / AVX2 intrinsics.

  Language:C194013

• MartinNum/HNSW_explain

  为HSNW源码加上了详细的注释

  Language:C++183

• DmitryKey/big-ann

  BigANN Experiments of Team Sisu

  Language:Jupyter Notebook8631

• mattjw/elasticsearch-nn-benchmarks

  Benchmarking and comparison of vector nearest neighbour in Elasticsearch.

  Language:Python8201

• whenever5225/whenever5225.github.io

  个人博客

  Language:HTML7201

• Jerry-liujie/ip-nsw

  Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search

  Language:C++6301

• hhy3/SimpleANNS

  Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.

  Language:C++5100

• chrisjmccormick/brute_knn_benchmarks

  Performance measurements on brute-force k-NN implementations on GPU and CPU

  Language:Python4202

• maumueller/ann-benchmarks-edml19

  EDML 19 submission repo for ann-benchmarks.

  Language:Python4201

• chuanxiao1983/HVS

  HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search

  Language:C++2000

• agSidharth/hnsw_parallel

  Parallel c++ implementation of HNSW algorithm

  Language:C++1100

• hsz1273327/TutorialForDataScience

  Language:Jupyter Notebook1201

• maumueller/ann-benchmarks-reproducibility

  Source code to reproduce https://www.sciencedirect.com/science/article/pii/S0306437918303685

  Language:Python1391