Mision TIC 2022

Esta iniciativa, aparece como respuesta frente a los retos de la Cuarta Revolución Industrial, y tiene como objetivo la formación de 100.000 hombres y mujeres elegidos y formados para ser parte de la aventura que propulsará el mundo hacia adelante.

Material de las Sesiones

El material usado en las seciones esta ordenado por semanas, en cada semana pueden encontrar una carpeta Presentaciones donde se almacenan las presentaciones usadas, y una carpeta Sources donde se montaran los codigos de ejemplo desarrollados durante las sesiones.

Cronograma

Semana	Temas
Semana 1	Introducción a la Algoritmia, Introducción a Python, Operaciones en Python
Semana 2	Condicionales, Ciclos, Requisitos funcionales
Semana 3	Subprogramas y funciones, Vectores, Programación orientada a objetos
Semana 4	Clases derivadas, Polimorfismo
Semana 5	Listas ligadas, Pilas, Colas, Arreglos 2D
Semana 6	Librerías de Python, Interfaz gráfica
Semana 7	Manejo de archivos, Archivos JSON, Archivos CSV

MAterial del programa Misión TIC 2022

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Mision TIC 2022

Material de las Sesiones

Cronograma

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Illuminated3D This project participates in the Nasa Space Apps Challenge 2021.

Reinforcement Learning for Automated Trading

Python implementation of NARS (Non-Axiomatic-Reasoning-System)

A Python module for parallel optimization of expensive black-box functions

Pytorch implementation of ICASSP 2022 paper Attention Probe: Vision Transformer Distillation in the Wild

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

A Python library for differentiable optimal control on accelerators.

SMD-Nets: Stereo Mixture Density Networks

Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness

Bottleneck Transformers for Visual Recognition

The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

A standard framework for modelling Deep Learning Models for tabular data

[ICML 2021] Break-It-Fix-It: Learning to Repair Programs from Unlabeled Data

An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py

An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.