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The University of Queensland
- Brisbane, Australia
- jmmackenzie.io
Stars
A large-scale information-rich web dataset, featuring millions of real clicked query-document labels
Official software repository of S. Bruch, F. M. Nardini, C. Rulli, and R. Venturini, "Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations". Long Paper @ ACM SIG…
Up to 10x faster strings for C, C++, Python, Rust, Swift & Go, leveraging NEON, AVX2, AVX-512, SVE, & SWAR to accelerate search, hashing, sort, edit distances, and memory ops 🦖
Implementation of "Efficient Multi-vector Dense Retrieval with Bit Vectors", ECIR 2024
Rust implementation of the HNSW algorithm (Malkov-Yashunin)
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search…
The Rank-Biased Centroids (RBC) rank fusion method to combine multiple-rankings of objects.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Shared-Memory and Distributed-Memory Parallel Graph Partitioning
Performance instrumentation and tracing for Android, Linux and Chrome (read-only mirror of https://android.googlesource.com/platform/external/perfetto/)
Low-overhead tracing of all Linux kernel-user transitions, for serious performance analysis. Includes kernel patches, loadable module, and post-processing software. Output is HTML/SVG per-CPU-core …
magic-trace collects and displays high-resolution traces of what a process is doing
Import and export tools for elasticsearch & opensearch
Code and data for "Faster Learned Sparse Retrieval with Guided Traversal" - SIGIR 2022