Advanced Deep Learning course at CIMAT (Centro de Investigación en Matemáticas / Center of Research in Mathematics), México. Fall 2024

This repository contains the homework assignments (in Spanish) for the Advanced Deep Learning course at CIMAT, covering various deep learning models.

• Homework 1: Extreme Learning Machine (EML) for a classification problem
• Homework 2: Seq2Seq and Seq2Seq with Attention for predicting cryptocurrencies time series
• Homework 3: Transformer-Encoder-based model for predicting cryptocurrencies time series
• Homework 4: LORA (Low-Rank Adaptation) strategy to fine-tune a Transformer-Encoder-based model for predicting cryptocurrencies time series, and adapt it for currencies time series.
• Homework 5: Denoising Diffusion Implicit Model based on Transformer, using Oxford Flowers 102 dataset.