Pinned Repositories
cherche
Neural Search
cmu-10717-the-art-of-the-paper
Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
columnar-storage-and-list-based-processing-for-graph-dbms
Code for the paper titled "Columnar Storage and List-based Processing for Graph Database Management Systems". VLDB'21
dotfiles
EmptyHeaded
Make databases great again!
Graphite
A new network model on top of a parallel, distributed simulator for multicores.
interactive_latencies
Jeff Dean's latency numbers plotted over time
optimizing-subgraph-queries-combining-binary-and-worst-case-optimal-joins
Code for the paper titled "Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins". VLDB'19
queryproc's Repositories
queryproc/optimizing-subgraph-queries-combining-binary-and-worst-case-optimal-joins
Code for the paper titled "Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins". VLDB'19
queryproc/columnar-storage-and-list-based-processing-for-graph-dbms
Code for the paper titled "Columnar Storage and List-based Processing for Graph Database Management Systems". VLDB'21
queryproc/cherche
Neural Search
queryproc/cmu-10717-the-art-of-the-paper
Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
queryproc/dotfiles
queryproc/EmptyHeaded
Make databases great again!
queryproc/Graphite
A new network model on top of a parallel, distributed simulator for multicores.
queryproc/interactive_latencies
Jeff Dean's latency numbers plotted over time
queryproc/join-order-benchmark
Join Order Benchmark (JOB)
queryproc/latex-templates
A collection of LaTeX templates used for research, courses, and miscellanea.
queryproc/peloton
The Self-Driving Database Management System
queryproc/mlops_day
queryproc/queryproc
queryproc/SubgraphMatching
In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo
queryproc/timely-dataflow
A modular implementation of timely dataflow in Rust
queryproc/website
queryproc/what_are_embeddings
A deep dive into embeddings starting from fundamentals