Match_yc's repositories

mysteryann

🏆 Winning NeurIPS (NIPS) Competition Track: Big ANN, Practical Vector Search Challenge 2023. (see big-ann-benchmark https://big-ann-benchmarks.com/neurips23.html). The fastest cross-modal vector retrieval.

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vector-search-papers

📚 Awesome papers and technical blogs on vector DB (database), semantic-based vector search or approximate nearest neighbor search (ANN Search, ANNS). Vector search is the key component of large-scale information retrieval, cross-modal retrieval, LLMs-based RAG, vector databases.

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contest_kgraph

3rd Place, Finalist in SIGMOD 2023 Programming Contest.

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annlite

⚡ A fast embedded library for approximate nearest neighbor search

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big-ann-benchmarks

Framework for evaluating ANNS algorithms on billion scale datasets.

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bitcoin

Bitcoin Core integration/staging tree

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cilium

eBPF-based Networking, Security, and Observability

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Compilers-Principles-Syntax

Syntactic analysis

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daily_fudan

一键平安复旦小脚本,自动化快速上报疫情

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dragonfly

A modern replacement for Redis and Memcached

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knowhere

Knowhere is an open-source vector search engine, integrating FAISS, HNSW and Annoy

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DiskANN

Graph based indices for approximate nearest neighbor search

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Edge-computing-model-split

Simple Reproduction for paper DNN Inference acceleration on the edge

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efanna_graph

an Extremely Fast Approximate Nearest Neighbor graph construction Algorithm framework

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faiss

A library for efficient similarity search and clustering of dense vectors.

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kgraph

A library for k-nearest neighbor search

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milvus

An open source vector similarity search engine powered by Faiss, NMSLIB and Annoy

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oceanbase

OceanBase is an enterprise distributed relational database with high availability, high performance, horizontal scalability, and compatibility with SQL standards.

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pynndescent

A Python nearest neighbor descent for approximate nearest neighbors

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

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SPTAG

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

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starrocks

StarRocks is a next-gen sub-second MPP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics and ad-hoc query.

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Travel-Plan

in post COVID-19 age

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