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 the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences"

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Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

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Proto-RL: Reinforcement Learning with Prototypical Representations

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iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

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FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.

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Pytorch implementation of Hinton's Dynamic Routing Between Capsules

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pix2pix in tensorflow.js

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Rust bindings for the C++ api of PyTorch.

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CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"

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SynNet - synthetic tree generation using neural networks

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We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.

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The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020

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This repository contains the official MATLAB implementation of the TDA method for reverse image filtering

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