[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)
A computational engine for linear algebra operations, implementing matrix arithmetic from scratch. Demonstrating algorithmic logic, efficient mathematical computing, and clean code structures.
High-performance matrix manipulation engine. Implementing fundamental linear algebra algorithms and computational logic for data processing and mathematical optimization.
matrix transactions using bash
Source code for solving complex eigenvalue & eigenvector problems.
Simple javascript matrix calculator 🧮
Comprehensive Python 2.0 journey: from B.Tech logic foundations to advanced functional programming. Featuring matrix manipulation, geometric pattern algorithms, and modular development using Jupyter. A testament to self-taught discipline.
Educational CUDA C/C++ programming repository with commented examples on GPU parallel computing, matrix operations, and performance profiling. Requires a CUDA-enabled NVIDIA GPU.
CLI-based matrix calculator for performing linear algebra operations.
Implementação em Verilog de um Coprocessador Matricial (ALU) para soma, transposição e cálculo de determinantes (até 5x5). Projeto de Sistemas Digitais.
Opérations sur les matrices creuses en C++ avec des listes chaînées
A complete hands-on NumPy learning repository covering array creation, indexing, slicing, reshaping, broadcasting, mathematical operations, boolean indexing, aggregation functions, and real-world use cases.
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A C++ implementation of sparse matrices using linked list structures (row-wise and column-wise). The program supports matrix creation from files, display, addition, multiplication, and computation of matrix power summation (Sigma of powers), with dynamic memory management.
An interactive matrix computation engine and linear algebra simulator in Python.
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