CaucherWang
Ph.D. candidate in Fudan University @DSM-fudan and Université Paris Cité, with interest in high-d vector database.
Fudan UniversityShanghai
CaucherWang's Stars
rutgers-db/SeRF
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search
facebookresearch/Qinco
Residual Quantization with Implicit Neural Codebooks
imarcher/DIDS
qdrant/ann-filtering-benchmark-datasets
Collection of datasets for benchmarking filtered vector similarity retrieval
antgroup/vsag
vsag is a vector indexing library used for similarity search.
IntelLabs/VectorSearchDatasets
intel/ScalableVectorSearch
CaucherWang/Steiner-hardness
A new query hardness measure for graph-based ANN indexes. Build unbiased workloads with this hardness to see the actual performance of your ANN indexes.
jfalcou/eve
Expressive Vector Engine - SIMD in C++ Goes Brrrr
DSM-fudan/DumpyOS
DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search (VLDB Journal under review)
WeiJiuQi/DET-LSH
alipay/PASE
qdrant/vector-db-benchmark
Framework for benchmarking vector search engines
TAG-Research/ACORN
state-of-the-art search over vector embeddings and structured data (SIGMOD '24)
criteo/autofaiss
Automatically create Faiss knn indices with the most optimal similarity search parameters.
tiannuo-yang/VDTuner
[ICDE 2024] VDTuner - Automated Performance Tuning for Vector Data Management Systems (Vector Databases)
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
baidu/puck
Puck is a high-performance ANN search engine
gaoj0017/RaBitQ
[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
zilliztech/knowhere
Knowhere is an open-source vector search engine, integrating FAISS, HNSW, etc.
shuyanzhou/docprompting
Data and code for "DocPrompting: Generating Code by Retrieving the Docs" @ICLR 2023
chen700564/RGB
ashvardanian/SimSIMD
Up to 200x Faster Dot Products & Similarity Metrics — for Python, Rust, C, JS, and Swift, supporting f64, f32, f16 real & complex, i8, and bit vectors using SIMD for both AVX2, AVX-512, NEON, SVE, & SVE2 📐
decisionintelligence/TFB
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
mingyu-hkustgz/Res-Infer
aaalgo/kgraph
A library for k-nearest neighbor search
mti-lab/rnn-descent
ZJULearning/efanna
fast library for ANN search and KNN graph construction
nlescoua/faiss-quickeradc
QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS
pixelogik/NearPy
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.