Alternatives and similar repositories for nns-meets-deep-rl:

Users that are interested in nns-meets-deep-rl are comparing it to the libraries listed below

• dbaranchuk / learning-to-route
  Code for ICML2019 paper: Learning to Route in Similarity Graphs
  ☆58Updated 8 months ago
• efficient / faiss-learned-termination
  Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"
  ☆51Updated 4 years ago
• jalvarm / hcnng
  This is the implementation of the Hierarquical Clustering-based Nearest Neighbor Graphs
  ☆17Updated 5 years ago
• Shekhale / gbnns_theory
  Code for ICML2020 paper: ''Graph-based Nearest Neighbor Search: From Practice to Theory''
  ☆19Updated 4 years ago
• csypeng / LAN
  Learning-based Approximate k-NN Search in Graph Databases
  ☆11Updated 3 years ago
• Patrick-H-Chen / FINGER
  ☆13Updated last year
• stanis-morozov / ip-nsw
  Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search
  ☆40Updated 6 years ago
• Lsyhprum / WEAVESS
  A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search
  ☆69Updated 3 years ago
• Kejing-Lu / hvs
  ☆15Updated 2 years ago
• ZJULearning / efanna_graph
  an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework
  ☆93Updated 5 years ago
• Shekhale / gbnns_dim_red
  Reducing Dimensionality method for Nearest Neighbor Search
  ☆14Updated 4 years ago
• sunbelbd / song
  SONG: Approximate Nearest Neighbor Search on GPU. SONG is a graph-based approximate nearest neighbor search toolbox.
  ☆67Updated 2 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…
  ☆137Updated last week
• HuangQiang / QALSH
  Query-Aware LSH for Approximate NNS (PVLDB 2015 and VLDBJ 2017)
  ☆28Updated 3 years ago
• JoshEngels / RangeFilteredANN
  Algorithms for approximate nearest neighbor search with window filters
  ☆38Updated last year
• technicolor-research / pq-fast-scan
  PQ Fast Scan
  ☆60Updated 5 years ago
• gaoj0017 / ADSampling
  [SIGMOD 2023] High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations
  ☆50Updated 2 months ago
• cgtuebingen / ggnn
  GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
  ☆153Updated last month
• gouyt13 / SymphonyQG
  ☆22Updated 2 months ago
• VectorDB-NTU / Extended-RaBitQ
  [SIGMOD 2025] Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Ne…
  ☆25Updated last month
• gaoj0017 / RaBitQ
  [SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
  ☆87Updated 2 months ago
• zilliztech / BBAnn
  Block-based Approximate Nearest Neighbor
  ☆34Updated 3 years ago
• gaurav16gupta / BLISS
  Large Scale Search Index
  ☆30Updated last year
• CaucherWang / Steiner-hardness
  A new query hardness measure for graph-based ANN indexes. Build unbiased workloads with this hardness to see the actual performance of yo…
  ☆15Updated last month
• zilliztech / starling
  ☆56Updated 6 months ago
• ZJULearning / hashingSearch
  Search with a hash index
  ☆33Updated 6 years ago
• DBAIWangGroup / SRS
  SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index
  ☆55Updated 9 years ago
• RyanLiGod / hnsw-python
  hnsw implemented by python
  ☆66Updated 5 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 11 months ago