isabel-olmedo's Projects
Data related to the paper "API Usage Dialogues with a Simulated Virtual Assistant"
Ejercicios del curso de introducción a Machine Learning
BCG Data Science & Analytics Virtual Experience Program. Proyecto para diagnosticar el origen de la pérdida de clientes y predecir qué clientes tienen más o menos probabilidad de abandonar la empresa.
Detect waste in the wild using the YOLOv7 pretrained model and the TACO-Trash dataset in Google Colab.
The Schema-Guided Dialogue Dataset
Automatizar el envío de emails con Python, utilizando la biblioteca smtplib, email y ssl, ademas de trabajar con variables de entorno con las bibliotecas dotenv y decouple.
Katas realizadas para LaunchX en la etapa de Onboarding
Multilingual text corpus designed to study multilingual and cross-lingual natural language understanding (NLU) models and the strategies of localization of virtual assistants
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019)
Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
This repository contains the opensource version of the datasets were used for different parts of training and testing of models that ground natural language to UI actions as described in the paper: "Mapping Natural Language Instructions to Mobile UI Action Sequences" by Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, and Jason Baldridge, which is accepted in 2020 Annual Conference of the Association for Computational Linguistics (ACL 2020)
A large, free audio sample database (10M words pronounced), a test bed for voice activity detection algorithms and for single-syllable word recognition
Please see the readme file as well as our 2019 EMNLP paper linked here -->
Practica de CSS para la etapa Front-end del programa Launch X (replica de Landing page for vaccination)
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"