Alternatives and similar repositories for child-rescue

Users that are interested in child-rescue are comparing it to the libraries listed below

• singularlogic / child-rescue-ui
  ChildRescue aspires to effectively reduce the primary period between the moment a child is reported missing and the one when it is found,…
  ☆32Updated 3 years ago
• Jamesyang2333 / SAM
  A learning-based method for high-fidelity database generation.
  ☆16Updated 3 years ago
• axhertz / SimplicityDoneRight
  ☆11Updated 3 years ago
• waltercai / pqo-opensource
  ☆26Updated 4 years ago
• DataManagementLab / deepdb-public
  Implementation of DeepDB: Learn from Data, not from Queries!
  ☆103Updated 3 years ago
• parimarjan / learned-cardinalities
  learned cardinalities for databases
  ☆16Updated 2 years ago
• edualc / lqo_ml_perspective
  This repository includes the code base used in the paper "Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Pers…
  ☆18Updated last year
• rbergm / PostBOUND
  PostBOUND is a research framework to prototype and benchmark database query optimizers
  ☆22Updated last week
• shoupzwu / UAE
  A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
  ☆28Updated 4 years ago
• naru-project / naru
  Neural Relation Understanding: neural cardinality estimators for tabular data
  ☆104Updated 4 years ago
• wuziniu / unified_model
  A Unified Transferable Model for ML-Enhanced DBMS
  ☆14Updated 4 years ago
• db-tu-dresden / FASTgres-PVLDBv16
  ☆15Updated 2 years ago
• yunjiazhang / adaptiveness_vs_learning
  ☆12Updated last year
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆127Updated 6 years ago
• antonismand / ReJOIN
  Join ordering optimization using Deep Reinforcement Learning
  ☆44Updated 4 years ago
• microsoft / dsb
  The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. D…
  ☆72Updated last year
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆79Updated 5 years ago
• illinoisdata / quicksel
  Source code for QuickSel (SIGMOD 2020)
  ☆19Updated 7 months ago
• jt-zhang / CardinalityEstimationTestbed
  CardinalityEstimationTestbed
  ☆49Updated last year
• HustAIsGroup / AlphaJoin
  AlphaJoin: Join Order Selection à la AlphaG
  ☆16Updated 5 years ago
• learnedsystems / BaoForPostgreSQL
  A prototype implementation of Bao for PostgreSQL
  ☆217Updated last year
• TianyiChen0316 / LOGER
  ☆26Updated 3 years ago
• liang-zibo / DACE
  ☆14Updated 4 months ago
• zhaoyue-ntu / QueryFormer
  ☆60Updated last year
• DataManagementLab / lcm-eval
  This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"
  ☆28Updated 3 weeks ago
• haitianchen / LEON
  Pytorch implementation of LEON: A New Framework for ML-Aided Query Optimization.
  ☆29Updated last year
• Nathaniel-Han / End-to-End-CardEst-Benchmark
  A new CardEst Benchmark to Bridge AI and DBMS
  ☆135Updated 2 years ago
• agora-ecosystem / data-farm
  Expand your Training Limits! Generating Training Data for ML-based Data Management
  ☆16Updated 3 years ago
• rabbit721 / QPPNet
  ☆38Updated 2 years ago
• learnedsystems / CEB
  Cardinality Estimation Benchmark
  ☆85Updated 2 years ago