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
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

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A PyTorch based deep learning library for drug pair scoring.

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Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework'

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The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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This code is a near-infrared spectrum modeling method based on PCA and pls

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The personal repository of the work: *DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer*.

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RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

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30 Sep 16, 2022
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Example how to deploy deep learning model with aiohttp.

aiohttp-demos Demos for aiohttp project. Contents Imagetagger Deep Learning Image Classifier URL shortener Toxic Comments Classifier Moderator Slack B

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Official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels".

WarPI The official PyTorch implemention of our paper "Learning to Rectify for Robust Learning with Noisy Labels". Run python main.py --corruption_type

Haoliang Sun 3 Sep 03, 2022
RobustVideoMatting and background composing in one model by using onnxruntime.

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Quantum Liu 4 Apr 07, 2022
This is a Keras implementation of a CNN for estimating age, gender and mask from a camera.

face-detector-age-gender This is a Keras implementation of a CNN for estimating age, gender and mask from a camera. Before run face detector app, expr

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Code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge.

Open Sesame This repository contains the code for the paper Open Sesame: Getting Inside BERT's Linguistic Knowledge. Credits We built the project on t

9 Jul 24, 2022
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation

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20 May 28, 2022
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