[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
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Updated
Dec 11, 2024 - Common Lisp
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
This project implements a text encoding and decoding system using a matrix-based encoding technique.
Offloading matrix operations, face detection, and face recognition applications from a PandaBoard device (i.e. client device) to a server (i.e. server desktop computer)
matrix transactions using bash
Source code for solving complex eigenvalue & eigenvector problems.
This repository contains C and C++ programs for matrix operations. The C++ program is a matrix calculator that performs addition, subtraction, multiplication, scalar multiplication, scalar division, and transposition. The C program defines functions for these operations.
Simple javascript matrix calculator 🧮
collection of fast multiplication algorithms and matrix operations.
Final Project Aljabar Linier - Aplikasi Desktop / GUI untuk menghitung Operasi Matriks
Educational CUDA C/C++ programming repository with commented examples on GPU parallel computing, matrix operations, and performance profiling. Requires a CUDA-enabled NVIDIA GPU.
OOP module for operations on sparse 2D matrices
Simple CLI calculator for performing matrix operations.
Lower upper matrix decomposition and determinant algorithm
A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.
Common matrix operations implemented in prolog
A program that allows the user to create matrices arbitrarily, then be able to save and load these matrices and perform various operations on them. The program should also decompose these operations into their basic elements and visualizes them in a clear and interactive way for the user.
This project provides Euclidean Distance and Covariance matrix from the given n*m matrix.
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