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Estudante na UNICAP
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- mguinhos.github.io
- in/marcel-guinhos
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Starred repositories
Get paid for waiting. The most-watched line on Earth now has a market. Kickbacks turns AI wait states into one sponsored status line, and users get 50% of ad revenue.
Tesseract Open Source OCR Engine (main repository)
📄 Awesome OCR multiple programing languages toolkits based on ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT and PyTorch.
A simple screen parsing tool towards pure vision based GUI agent
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
A learning-focused, high-performance tensor computation library built from scratch in Rust, featuring automatic differentiation and CPU/CUDA backends.
AI computer use powered by open source LLMs and E2B Desktop Sandbox
📚 Biblioteca de livros essenciais da área da programação. (Confira o meu novo projeto `SendScriptWhatsapp`)
Recurrent neural network for audio noise reduction
jqwik extension to support testing of Spring and Spring-Boot applications
Um sistema básico para controlar pagamentos e vagas disponíveis.
🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
Code accompanying NCA paper titled "Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders"
This is the unofficial implementation of HOPE based model as shown in the google deepmind research paper.
Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.
Get started with writing your first ever Windows Driver
An implementation of the SHA-256 algorithm in Python.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."