Geoffrey Porto (geoffreyporto)

geoffreyporto

Geek Repo

Company:Neuraliza.ai

Location:Monterrey, N.L, México

Home Page:https://www.neuraliza.ai

Twitter:@geoffreyporto

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Geoffrey Porto's repositories

ai-gen-speechtotext

OpenAI Whisper - Advanced meeting audio analysis for video conferencing.

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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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artificial-intelligence

Projects of Artificial Intelligence

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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bark

🔊 Text-Prompted Generative Audio Model

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Brats21_KAIST_MRI_Lab

Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge

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CyFHIR

A Neo4j Plugin for Handling HL7 FHIR Data

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dwave-ocean-sdk

Installer for D-Wave's Ocean tools

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Entendendo-os-algoritmos

Repositório criado com o objetivo de fomentar a cooperação em um estudo centralizado dos algoritmos de data science

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fhir-neuravet-alopecia

A project FHIR for Neuravet for alopecia diseases

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fhirserver

Reference Implementation Server for the FHIR Specification

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fuzzy-models

Fuzzy models for babies

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gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

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grok-1

Grok open release

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guiadevbrasil

Um guia extenso de informações com um vasto conteúdo de várias áreas para ajudar, agregar conhecimento e retirar dúvidas, nesse guia você encontrará tudo que necessário para qualquer carreira relacionada a tecnologia.

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jeremy_assistant

This AI can ask any questions you would have about me!

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rerun

Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.

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Rust-Programming-2023---A-Comprehensive-Course-for-Beginners

Rust Programming: From Zero to Advanced in 2023 - A Comprehensive Course, published by Packt

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rust-web-framework-comparison

A comparison of some web frameworks and libs written in Rust

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StreamingCNN

To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.

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streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

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StructGPT

The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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