Compact Software Suite for Scientific Development - Linear Algebra
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Updated
May 23, 2024 - C++
Compact Software Suite for Scientific Development - Linear Algebra
JAMU - Java Matrix Utilities built on top of Intel's oneAPI Math Kernel Library (oneMKL)
Selected BLAS and LAPACK Java bindings for Intel's oneAPI Math Kernel Library (oneMKL) on Windows and Linux
Slim Intel® oneAPI Math Kernel Library (oneMKL) C runtime for x64 Linux / Windows
solution of exercises of the book "probabilistic robotics"
fast, easy to use c++ neural network for arff files
Nim CBLAS and LAPACKE bindings for Intel MKL
Fast cosine similarity for Python
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Implemented LeNet for MNIST Digit Recognition and carried out optimizations using pthreads, openBLAS etc
Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
My homework solutions (in SSH/Linux/Bash via TAMU HRPC) of the Ph.D. level Statistics course (STAT 624) in Texas A&M University
Simple MLP / CNN / RNN neural-networks implementation in csharp. In progress.
Implementation of randomized PCA using Intel MKL
GEneral Matrix Multiplication with Intel Compiler and his powerfull Autoparallelization and Autovectorization
Benchmark Blas matrix multiplication with monodevelop
Basic Linear Algebra Subprograms for .Net
A SIMD implementation for Matrix Multiplication by IntelMKL library.
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