Alternatives and similar repositories for HAKES:

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

• nusdbsystem / forkbase
  An Efficient Storage Engine for Blockchain and Forkable Applications
  ☆24Updated last year
• neurdb / neurdb
  AI-powered Autonomous Data System
  ☆56Updated this week
• cool-squad / cool
  COOL Source Code
  ☆20Updated 4 years ago
• nusdbsystem / falcon
  ☆42Updated 11 months ago
• COOL-cohort / COOL
  the source code of the COOL system
  ☆45Updated last month
• TsinghuaDatabaseGroup / DBMeeting
  Putting Database Meeting Reports Together
  ☆34Updated last year
• ooibc88 / modelslicing
  Model Slicing for Analytics with Elastic Inference Cost and Resource Constraints
  ☆12Updated last year
• sfu-db / AreCELearnedYet
  ☆70Updated 2 years ago
• CASP-Systems-BU / Secrecy
  A relational Multi-Party Computation framework for analytics in untrusted clouds
  ☆28Updated 8 months ago
• jt-zhang / CardinalityEstimationTestbed
  CardinalityEstimationTestbed
  ☆44Updated 7 months ago
• for0nething / FACE-A-Normalizing-Flow-based-Cardinality-Estimator
  A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
  ☆22Updated last year
• parimarjan / learned-cardinalities
  learned cardinalities for databases
  ☆15Updated 2 years ago
• Jamesyang2333 / SAM
  A learning-based method for high-fidelity database generation.
  ☆15Updated 2 years ago
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆121Updated 5 years ago
• dhofmann34 / AutoOD_Demo
  A self-tuning anomaly detection system to address the challenges of method selection and hyper-parameter tuning without access to a suffi…
  ☆75Updated last year
• MorphingDB / MorphingDB
  PostgreSQL extension for supporting deep learning model inference within the database and vector storage
  ☆57Updated last week
• Nathaniel-Han / End-to-End-CardEst-Benchmark
  A new CardEst Benchmark to Bridge AI and DBMS
  ☆122Updated 2 years ago
• damslab / reproducibility
  ☆23Updated last month
• MICROBLOCK-RUC-INFO / workflow-engine
  ☆20Updated 4 months ago
• wuziniu / FactorJoin
  A new cardinality estimation scheme for join query estimation
  ☆36Updated 4 months ago
• waltercai / pqo-opensource
  ☆24Updated 3 years ago
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆77Updated 4 years ago
• Eilowangfang / LPCE
  This is for SIGMOD submission "Learning-based Progressive Cardinality Estimation for End-to-end Query Execution"
  ☆18Updated 2 years ago
• itrummer / dbbert
  DB-BERT tunes database systems for optimal performance, using tuning hints mined from text.
  ☆59Updated last year
• agora-ecosystem / tee-bench
  TEE Relational Operator Benchmark Suite
  ☆13Updated 8 months ago
• Blondig / Lero-on-PostgreSQL
  ☆29Updated last year
• curtis-sun / TLI
  ☆41Updated last year
• pagegitss / UAE
  A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
  ☆28Updated 3 years ago
• naru-project / naru
  Neural Relation Understanding: neural cardinality estimators for tabular data
  ☆103Updated 3 years ago
• illinoisdata / quicksel
  Source code for QuickSel (SIGMOD 2020)
  ☆19Updated 4 years ago