Alternatives and similar repositories for smart-compute

Users that are interested in smart-compute are comparing it to the libraries listed below

• parimarjan / db-embedding-tools
  blah
  ☆35Updated 6 years ago
• naru-project / naru
  Neural Relation Understanding: neural cardinality estimators for tabular data
  ☆105Updated 4 years ago
• RyanMarcus / TreeConvolution
  PyTorch implementation of binary tree convolution
  ☆49Updated 6 years ago
• linmagit / QueryBot5000
  Query-based Workload Forecasting for Self-Driving DBMS
  ☆103Updated 3 years ago
• learnedsystems / BaoForPostgreSQL
  A prototype implementation of Bao for PostgreSQL
  ☆216Updated last year
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆126Updated 6 years ago
• rabbit721 / QPPNet
  ☆38Updated 2 years ago
• gunaprsd / SkewedDataGenerator
  Skewed Data Generator for TPC-H
  ☆12Updated 5 years ago
• zhaoyue-ntu / qp_evaluation
  Query Plan Evaluation
  ☆16Updated 2 years ago
• illinoisdata / quicksel
  Source code for QuickSel (SIGMOD 2020)
  ☆19Updated 5 months ago
• cornelldbgroup / skinnerdb
  SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join o…
  ☆52Updated last year
• YSU-Data-Lab / TPC-H-Skew
  TPC-H benchmark with skew factor enabled
  ☆19Updated 8 months ago
• hyrise / index_selection_evaluation
  Platform to evaluate index selection algorithms
  ☆92Updated last year
• DataManagementLab / deepdb-public
  Implementation of DeepDB: Learn from Data, not from Queries!
  ☆104Updated 3 years ago
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆80Updated 5 years ago
• DataManagementLab / lcm-eval
  This is the source code of the SIGMOD paper: "How Good are Learned Cost Models, Really? Insights From Query Optimization Tasks"
  ☆26Updated 2 weeks ago
• Blondig / Lero-on-PostgreSQL
  ☆33Updated 2 years ago
• jinw18 / Readings_MLDB
  Paper list about adopting machine learning techniques into data management tasks.
  ☆37Updated 5 years ago
• ldbc / dbgen.JCC-H
  ☆20Updated last year
• shankur / autoindex
  Code used for the Arvix report: The Case for Automatic Database Administration using Deep Reinforcement Learning
  ☆24Updated 5 years ago
• axhertz / SimplicityDoneRight
  ☆11Updated 3 years ago
• sfu-db / AreCELearnedYet
  ☆72Updated 2 years ago
• waltercai / pqo-opensource
  ☆26Updated 4 years ago
• uwescience / query-workload-analysis
  A set of tools to analyze query workloads
  ☆13Updated 8 years ago
• antonismand / ReJOIN
  Join ordering optimization using Deep Reinforcement Learning
  ☆44Updated 4 years ago
• RyanMarcus / imdb_pg_dataset
  A Vagrant box that automatically loads the IMDB dataset into Postgres
  ☆78Updated last year
• microsoft / dsb
  The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. D…
  ☆72Updated last year
• IDEBench / IDEBench-public
  ☆23Updated 5 years ago
• learnedsystems / CEB
  Cardinality Estimation Benchmark
  ☆84Updated 2 years ago
• wuziniu / FSPN
  Factorize Sum Product Network
  ☆31Updated 3 years ago