Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
-
Updated
Dec 23, 2020 - Python
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Fast inference engine for Transformer models
Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL
automatic color-grading
monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices
A package for Multiple Kernel Learning in Python
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
A simple cross platform .NET API for Intel MKL
Least squares adjustment software
PyTorch implementation of the Complex Steerable Pyramid
Daany - .NET DAta ANalYtics .NET library with the implementation of DataFrame, Time series decompositions and Linear Algebra routines BLASS and LAPACK.
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
Add a description, image, and links to the mkl topic page so that developers can more easily learn about it.
To associate your repository with the mkl topic, visit your repo's landing page and select "manage topics."