Alternatives and similar repositories for Fly-LSH:

Users that are interested in Fly-LSH are comparing it to the libraries listed below

• perimosocordiae / graphs
  Graph-based learning in Python
  ☆17Updated 7 years ago
• Tharun24 / MACH
  Extreme Classification in Log Memory via Count-Min Sketch
  ☆46Updated 4 years ago
• rdspring1 / LSH_DeepLearning
  Scalable and Sustainable Deep Learning via Randomized Hashing
  ☆93Updated 2 years ago
• maumueller / ann-benchmarks
  Benchmarking approximate nearest neighbors. Note: This is an archived version from our SISAP 2017 paper, see below.
  ☆27Updated 6 years ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 10 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
• puffinn / puffinn
  Parameterless and Universal FInding of Nearest Neighbors
  ☆59Updated last month
• kexinrong / rehashing
  fast kernel evaluation in high dimensions via hashing
  ☆23Updated 4 years ago
• stanford-futuredata / optimus-maximus
  To Index or Not to Index: Optimizing Exact Maximum Inner Product Search
  ☆26Updated 6 years ago
• rdspring1 / MISSION
  MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
  ☆13Updated 5 years ago
• idiap / eakmeans
  Implementation of fast exact k-means algorithms
  ☆45Updated 5 years ago
• RUSH-LAB / Flash
  LSH-GPU ANN package
  ☆93Updated 6 years ago
• amplab / cyclades
  Cyclades
  ☆28Updated 7 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• optml / CoCoA
  ☆19Updated 7 years ago
• RUSH-LAB / LSH_Memory
  One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
  ☆74Updated 6 years ago
• Houzz / annoy2
  ☆26Updated 8 years ago
• lmcinnes / sstsne
  Semi-Supervised t-SNE using a Bayesian prior based on partial labelling
  ☆42Updated 8 years ago
• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆44Updated 2 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated 11 months ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• duguyue100 / conceptors
  A Python implementation of Conceptors.
  ☆25Updated 9 years ago
• xinyandai / product-quantization
  Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…
  ☆59Updated 4 years ago
• skylergrammer / SimulatedAnnealing
  ☆45Updated 4 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 3 years ago
• stanford-futuredata / wmsketch
  Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).
  ☆38Updated 6 years ago
• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 6 years ago
• stanis-morozov / prodige
  A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.
  ☆47Updated 5 years ago
• QratorLabs / pysdsl
  Python bindings to Succinct Data Structure Library 2.0
  ☆30Updated 5 years ago
• lmcinnes / umap_paper_notebooks
  Notebooks in support of the UMAP paper
  ☆44Updated 3 years ago