awesome-vector-database
pysimdjson-feedstock
awesome-vector-database | pysimdjson-feedstock | |
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1 | 1 | |
141 | 0 | |
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9.0 | 5.0 | |
4 days ago | 9 days ago | |
Creative Commons Zero v1.0 Universal | BSD 3-clause "New" or "Revised" License |
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awesome-vector-database
pysimdjson-feedstock
-
Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
numpy-feedstock: https://github.com/conda-forge/numpy-feedstock/blob/main/rec...
scipy-feedstock: https://github.com/conda-forge/scipy-feedstock/blob/main/rec...
pysimdjson-feedstock: https://github.com/conda-forge/pysimdjson-feedstock/blob/mai...
simdjson-feedstock: https://github.com/conda-forge/simdjson-feedstock/blob/main/...
mkl_random-feedstock: https://github.com/conda-forge/mkl_random-feedstock https://github.com/google/paranoid_crypto/tree/main/paranoid... :
> NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL
blas: https://github.com/conda-forge/blas-feedstock/blob/main/reci...
xtensor-blas-feedstock: https://github.com/conda-forge/xtensor-blas-feedstock
xtensor-fftw (FFT with xtensor (c++)) could probably be AVX-512 and SVE -optimized as well?
What are some alternatives?
weaviate-examples - Weaviate vector database – examples
xtensor-blas-feedstock - A conda-smithy repository for xtensor-blas.
numpy-feedstock - A conda-smithy repository for numpy.
scipy-feedstock - A conda-smithy repository for scipy.
SimSIMD - Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
citrus - (distributed) vector database
simdjson-feedstock - A conda-smithy repository for simdjson.
xtensor-fftw - FFTW bindings for the xtensor C++14 multi-dimensional array library
mkl_random-feedstock - A conda-smithy repository for mkl_random.