Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

Fast inference engine for Transformer models

Llama 2 Everywhere (L2E)

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

automatic color-grading

Julia bindings to the FFTW library for fast Fourier transforms

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

Using advanced control techniques in an easy way for embedded - No theory, only practice

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

Redistribute Intel MKL as a crate

Data Parallel Extension for NumPy

Least squares adjustment software

“云上炼丹师”中的云

Python hooks for Intel(R) Math Kernel Library runtime control settings.

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.