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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
daal4py
sources for daal4py - a convenient Python API to DAAL
data-analytics-benchmarks
icnc
Intel(R) Concurrent Collections for C++
julia
The Julia Language: A fresh approach to technical computing.
METADATA.jl
Metadata for registered Julia packages.
nn_examples
numba
NumPy aware dynamic Python compiler using LLVM
parquet-cpp
Mirror of Apache Parquet
scanner
Efficient video analysis at scale
ehsantn's Repositories
ehsantn/nn_examples
ehsantn/data-analytics-benchmarks
ehsantn/arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
ehsantn/daal4py
sources for daal4py - a convenient Python API to DAAL
ehsantn/icnc
Intel(R) Concurrent Collections for C++
ehsantn/julia
The Julia Language: A fresh approach to technical computing.
ehsantn/METADATA.jl
Metadata for registered Julia packages.
ehsantn/numba
NumPy aware dynamic Python compiler using LLVM
ehsantn/parquet-cpp
Mirror of Apache Parquet
ehsantn/scanner
Efficient video analysis at scale
ehsantn/tpcxbb-hive2
TPCxBB (BigBench) for Hive2 (LLAP)