Alternatives and similar repositories for ggnn:

Users that are interested in ggnn are comparing it to the libraries listed below

• sunbelbd / song
  SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.
  ☆67Updated last week
• js1010 / cuhnsw
  CUDA implementation of Hierarchical Navigable Small World Graph algorithm
  ☆156Updated 4 years ago
• dbaranchuk / ivf-hnsw
  Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
  ☆209Updated 4 years ago
• cmuparlay / ParlayANN
  A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such a…
  ☆141Updated last week
• yuyuanhang / GANNS
  Article: GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction by Authors Yuanhang Yu, Dong Wen, Ying Zhan…
  ☆19Updated 3 months ago
• DBAIWangGroup / nns_benchmark
  Benchmark of Nearest Neighbor Search on High Dimensional Data
  ☆207Updated 3 years ago
• Lsyhprum / WEAVESS
  A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search
  ☆69Updated 3 years ago
• stanis-morozov / ip-nsw
  Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search
  ☆40Updated 6 years ago
• technicolor-research / pq-fast-scan
  PQ Fast Scan
  ☆61Updated 5 years ago
• zilliztech / pyglass
  Graph Library for Approximate Similarity Search
  ☆114Updated last week
• ZJULearning / SSG
  code for satellite system graphs
  ☆120Updated last year
• harsha-simhadri / big-ann-benchmarks
  Framework for evaluating ANNS algorithms on billion scale datasets.
  ☆374Updated last week
• efficient / faiss-learned-termination
  Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"
  ☆54Updated 4 years ago
• anilshanbhag / gpu-topk
  Efficient Top-K implementation on the GPU
  ☆178Updated 6 years ago
• dbaranchuk / nns-meets-deep-rl
  Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning
  ☆21Updated 5 years ago
• intel / ScalableVectorSearch
  ☆153Updated this week
• ZJULearning / efanna_graph
  an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework
  ☆94Updated 5 years ago
• TatsuyaShirakawa / nndescent
  Implementation of Efficient K-NN Graph Construction Algorithm NN-Descent in C++
  ☆30Updated 8 years ago
• dbaranchuk / learning-to-route
  Code for ICML2019 paper: Learning to Route in Similarity Graphs
  ☆58Updated 9 months ago
• technicolor-research / faiss-quickeradc
  QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS
  ☆60Updated 6 years ago
• andrusha97 / online-hnsw
  Implementation of HNSW that supports online updates
  ☆66Updated 7 years ago
• zilliztech / BBAnn
  Block-based Approximate Nearest Neighbor
  ☆35Updated 3 years ago
• jalvarm / hcnng
  This is the implementation of the Hierarquical Clustering-based Nearest Neighbor Graphs
  ☆18Updated 5 years ago
• owensgroup / SlabHash
  A warp-oriented dynamic hash table for GPUs
  ☆73Updated last year
• ZJU-DAILY / HNSW-Flash
  Source code for the paper: "Accelerating Graph Indexing for ANNS on Modern CPUs"
  ☆13Updated 2 months ago
• Shekhale / gbnns_theory
  Code for ICML2020 paper: ''Graph-based Nearest Neighbor Search: From Practice to Theory''
  ☆19Updated 4 years ago
• johnpzh / parallel_ANNS
  Parallel Approximate Nearest Neighbor Search
  ☆13Updated 2 years ago
• twistedcubic / learn-to-hash
  Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
  ☆73Updated 4 years ago
• mti-lab / rnn-descent
  ☆21Updated last year
• zilliztech / starling
  ☆60Updated 8 months ago