Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
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May 22, 2019 - Python
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mkl
Here are 57 public repositories matching this topic...
Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net
machine-learning
statistics
hpc
matlab
vector
matrix
linear-algebra
openmp
cpp11
matrix-factorization
matrix-functions
scientific-computing
expression-template
gaussian-mixture-models
armadillo
blas
lapack
linear-algebra-library
sparse-matrix
mkl
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Nov 4, 2019
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
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Oct 14, 2020 - C++
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
opencv
package
data-science
machine-learning
natural-language-processing
deep-learning
mxnet
archlinux
tensorflow
scikit-learn
cuda
pandas
pytorch
spacy
xgboost
lightgbm
cudnn
mkl
nervana
natural-language-understanding
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Nov 9, 2019 - Shell
A package for Multiple Kernel Learning in Python
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Aug 14, 2020 - Python
twhughes
commented
Dec 3, 2018
Describe the bug
If eps_r is shape (N,) then the fields solved are shape (N,1)
Either:
- disallow 1-D
eps_rarrays
Or: - keep track of
eps_rshape and reshape the fields to match.
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
rcpp
eigen
openmp
cpp11
armadillo
blas
statistical-tests
linear-algebra-library
algorithmic-trading
blaze
ols-regression
rcpparmadillo
urt
mkl
openblas
cython-wrapper
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Sep 30, 2017 - C++
End-to-end speech recognition using TensorFlow
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Apr 2, 2018 - Python
PyTorch implementation of the Complex Steerable Pyramid
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Dec 14, 2018 - Python
Foundational library for Kernel methods in pattern analysis and machine learning
data-science
machine-learning
kernel
svm
scikit-learn
data-structures
pattern-analysis
pattern-recognition
metric-learning
kernel-methods
kernels
mkl
kernel-functions
multiple-kernel-learning
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May 28, 2020 - Python
Make available to Julia the sparse functionality in MKL
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Sep 15, 2020 - Julia
Least squares adjustment software
fast
xsd
multithreading
generic-mapping-tools
least-squares
geodesy
tbb
geodesyml
mkl
surveying
xercesc
geoid
reference-frame
partial-least-squares
nonlinear-least-squares
linear-least-squares
weighted-least-squares
network-segmentation
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Oct 19, 2020 - C++
Deep Learning With C++
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Oct 2, 2017 - Makefile
automatic color-grading
color
image
transfer
photography
matching
match
histogram
transport
automatic
colour
stopmotion
mkl
paintings
lightfield
reinhard
color-grading
monge
kantorovich
pitie
re-color
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Sep 3, 2020 - Python
A third-party distribution of Multiwfn for gfortran, 100% free!
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Jul 31, 2018 - Fortran
Optimized tensorflow wheels binaries build for macos
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Jul 19, 2018 - Shell
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
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Aug 10, 2020 - Python
Basic Linear Algebra Subprograms for .Net
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Apr 23, 2019 - C#
Numerical computing library for linear algebra and task-based parallelism.
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Jan 11, 2020 - C++
The repository targets the OpenCL gemm function performance optimization. It compares several libraries clBLAS, clBLAST, MIOpenGemm, Intel MKL(CPU) and cuBLAS(CUDA) on different matrix sizes/vendor's hardwares/OS. Out-of-the-box easy as MSVC, MinGW, Linux(CentOS) x86_64 binary provided. 在不同矩阵大小/硬件/操作系统下比较几个BLAS库的sgemm函数性能，提供binary，开盒即用。
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Mar 28, 2019 - C
Instructions and benchmarks for high-performance computing in R
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Sep 26, 2020 - R
Fully setting up and installing R in Windows / Debian / Ubuntu (Version: 3.5.1)
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May 19, 2019
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We should prefix CMake build options with "CT2_", e.g.
CT2_WITH_MKLinstead ofWITH_MKL. This is a good practice to avoid possible conflicts with other projects.The usage should then be updated in several places: