solution of exercises of the book "probabilistic robotics"
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Updated
May 18, 2023 - C++
solution of exercises of the book "probabilistic robotics"
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
My homework solutions (in SSH/Linux/Bash via TAMU HRPC) of the Ph.D. level Statistics course (STAT 624) in Texas A&M University
Basic Linear Algebra Subprograms for .Net
Selected BLAS and LAPACK Java bindings for Intel's oneAPI Math Kernel Library (oneMKL) on Windows and Linux
Fast cosine similarity for Python
JAMU - Java Matrix Utilities built on top of Intel's oneAPI Math Kernel Library (oneMKL)
Simple MLP / CNN / RNN neural-networks implementation in csharp. In progress.
GEneral Matrix Multiplication with Intel Compiler and his powerfull Autoparallelization and Autovectorization
Implemented LeNet for MNIST Digit Recognition and carried out optimizations using pthreads, openBLAS etc
Implementation of randomized PCA using Intel MKL
Benchmark Blas matrix multiplication with monodevelop
Nim CBLAS and LAPACKE bindings for Intel MKL
Slim Intel® oneAPI Math Kernel Library (oneMKL) C runtime for x64 Linux / Windows
Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
fast, easy to use c++ neural network for arff files
Compact Software Suite for Scientific Development - Linear Algebra
A SIMD implementation for Matrix Multiplication by IntelMKL library.
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