kon0925 / coconut

Related projects: ⓘ

• karimaechihabi / lernaean-hydra
  This is the Lernaean Hydra Archive (LHA) for Similarity Search.
  ☆22Updated 11 months ago
• BigDataAnalyticsGroup / GENE
  Code used for VLDB paper "The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures"
  ☆10Updated 2 years ago
• parimarjan / db-embedding-tools
  blah
  ☆33Updated 5 years ago
• dbaranchuk / nns-meets-deep-rl
  Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning
  ☆18Updated 4 years ago
• jinw18 / Readings_MLDB
  Paper list about adopting machine learning techniques into data management tasks.
  ☆37Updated 4 years ago
• rackingroll / ssh
  ssh code
  ☆11Updated 7 years ago
• Liuguanli / RSMI
  A Recursive Spatial Model Index
  ☆38Updated 6 months ago
• twistedcubic / learn-to-hash
  Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
  ☆70Updated 3 years ago
• efficient / faiss-learned-termination
  Source code for SIGMOD 2020 paper "Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination"
  ☆44Updated 4 years ago
• stanis-morozov / ip-nsw
  Implementation of ip-nsw from Non-metric Similarity Graphs for Maximum Inner Product Search
  ☆40Updated 6 years ago
• gvinciguerra / Learned-indexes-effectiveness
  Code for the TCS paper "On the performance of learned data structures" and the ICML paper "Why are learned indexes so effective?"
  ☆19Updated 3 years ago
• dbaranchuk / learning-to-route
  Code for ICML2019 paper: Learning to Route in Similarity Graphs
  ☆57Updated last month
• DataOceanLab / GLIN
  A lightweight learned index for spatial range queries on complex geometries
  ☆12Updated 2 years ago
• edoliberty / frequent-directions
  Implements the frequent directions algorithm for approximating matrices in streams
  ☆32Updated 7 years ago
• RyanMarcus / TreeConvolution
  PyTorch implementation of binary tree convolution
  ☆45Updated 4 years ago
• DominikHorn / hashing-benchmark
  benchmark driver for "Can Learned Models Replace Hash Functions?" VLDB submission
  ☆14Updated 10 months ago
• RapidsAtHKUST / SimRank
  1) SimRank (single pair query, parallel all pair computation / dynamic updates) - by Yue Wang (https://github.com/KeithYue) and Yulin Che…
  ☆14Updated 4 years ago
• IntelLabs / TSAD-Evaluator
  Intel Labs open source repository for time series anomaly detection evaluator
  ☆42Updated 8 months ago
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆66Updated 3 years ago
• naru-project / naru
  Neural Relation Understanding: neural cardinality estimators for tabular data
  ☆98Updated 3 years ago
• sfu-db / BOExplain
  Explaining Inference Queries with Bayesian Optimization
  ☆10Updated 3 years ago
• NikhilGupta1997 / LookOut
  Beyond Outlier Detection: LookOut for Pictorial Explanation
  ☆25Updated 5 years ago
• rkwitt / gboost
  A fork of Sebastian Nowozin's and Koji Tsuda's gboost code
  ☆17Updated 11 years ago
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆113Updated 5 years ago
• dglai / minigun
  Light-weight GPU kernel interface for graph operations
  ☆15Updated 4 years ago
• pfl-cs / LISA
  ☆37Updated 3 years ago
• xinyandai / similarity-search
  A framework for index based similarity search.
  ☆19Updated 5 years ago
• athomo / kcore
  ☆9Updated 7 years ago
• linmagit / QueryBot5000
  Query-based Workload Forecasting for Self-Driving DBMS
  ☆97Updated last year
• chenyuhsu / learnedsketch
  LearnedSketch: Learning-Based Frequency Estimation Algorithms (ICLR 2019)
  ☆30Updated last year