Repositorio de los Laboratorios de Análisis Numérico / Análisis Numérico I de FAMAF, UNC.

Overview

Repositorio de los Laboratorios de Análisis Numérico / Análisis Numérico I de FAMAF, UNC.

Para los Laboratorios de la materia, vamos a utilizar el lenguaje de programación Python 3.X (donde X puede ser cualquier número mayor o igual a 5).

  • Tutorial para crear cuentas de UNC alumnos en este enlace.
  • Para instalar Python en sus computadoras, pueden seguir la página https://tutorial.djangogirls.org/es/python_installation/, tiene un buen tutorial para comenzar. En caso de querer una ayuda un poco más visual, recomendamos seguir este video.
  • Para poder crear el código que van a ejecutar, les recomendamos utilizar Visual Studio Code: https://code.visualstudio.com/. Este editor tiene la capacidad de agregar extensiones que facilitan un poco el trabajo con Python, pueden buscar la extensión llamada Python que aparece en la sección de Extensiones una vez que tengan instalado VSCode.
  • Para aquellas personas que solamente puedan usar el celular para realizar los laboratorios, es posible descargar la aplicación Google Colab Android View (Enlace a Google Play), que les permite utilizar y ejecutar código Python en celdas.

Playlists de Clases de Ediciones Anteriores

Owner
Luis Biedma
Mathematician and Data Scientist.
Luis Biedma
Code for paper 'Hand-Object Contact Consistency Reasoning for Human Grasps Generation' at ICCV 2021

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Language-Agnostic Website Embedding and Classification

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Sequence lineage information extracted from RKI sequence data repo

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BC3407-Group-5-Project - BC3407 Group Project With Python

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NHS AI Lab Skunkworks project: Long Stayer Risk Stratification

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Gif-caption - A straightforward GIF Captioner written in Python

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Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

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Yu Man Tam 102 Jan 06, 2023
An Api for Emotion recognition.

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Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics. By Andres Milioto @ University of Bonn. (for the new P

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End-to-end image segmentation kit based on PaddlePaddle.

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Microscopy Image Cytometry Toolkit

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SCALoss: Side and Corner Aligned Loss for Bounding Box Regression (AAAI2022).

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TuZheng 20 Sep 07, 2022
Implementation of U-Net and SegNet for building segmentation

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Official implementation of the ICCV 2021 paper: "The Power of Points for Modeling Humans in Clothing".

The Power of Points for Modeling Humans in Clothing (ICCV 2021) This repository contains the official PyTorch implementation of the ICCV 2021 paper: T

Qianli Ma 158 Nov 24, 2022
Codes and models of NeurIPS2021 paper - DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

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11 Sep 10, 2022
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

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All public open-source implementations of convnets benchmarks

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Official implementation of Protected Attribute Suppression System, ICCV 2021

Official implementation of Protected Attribute Suppression System, ICCV 2021

Prithviraj Dhar 6 Jan 01, 2023
Pre-trained NFNets with 99% of the accuracy of the official paper

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