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Thinking
36 followers · 29 following

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Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: Quickdraw

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matchyc/README.md

Hi there 👋

wakatime

I'm Meng, a postgraduate student majoring in computer science at Fudan University. I received my B.S. in data science and big data technologies from BUPT. Homepage: https://matchyc.github.io/

📰 NEWS

  • 🧪 I'm currently a research intern at Microsoft Research Asia (MSRA).

  • 🌟 Our solution was invited to a talk during NeurIPS 2023 in New Orleans.

  • 🏆 Won two championships on NeurIPS 2023 Competition Track: Practical Vector Search.

  • 🎉 SIGMOD 2023 Programming Contest, 3rd Place, Finalist.

  • 🎉 OceanBase Competition 2022, Top-10, Finalist.

💻 CONTRIBUTING

starrocks Milvus Knowhere DragonflyDB OceanBase

Last 7 Days

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  1. mysteryann mysteryann Public

    🏆 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 re…

    C++ 29 2

  2. RoarGraph RoarGraph Public

    VLDB 2024 paper repo. RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search

    C++ 33 8

  3. vector-search-papers vector-search-papers Public

    📚 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-sca…

    67 8

  4. contest_kgraph contest_kgraph Public

    3rd Place, Finalist in SIGMOD 2023 Programming Contest.

    Jupyter Notebook 2

  5. knowhere knowhere Public

    Forked from milvus-io/knowhere

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

    C++ 1

  6. tiny-container tiny-container Public

    build a container from scratch, Containers From Scratch • Liz Rice • GOTO 2018 Golang documents https://pkg.go.dev/ Linux manual page https://manual.cs50.io/

    Perl 1