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Ronaldo Leal's Projects

ayudantiatemasselectoscomputo icon ayudantiatemasselectoscomputo

Repositorio donde se comparte material complementario de la materia TEMAS SELECTOS DE COMPUTO. Materia impartida en el CENTRO DE INVESTIGACION EN MATEMATICAS - UNIDAD MONTERREY.

forecasting icon forecasting

This repo aims to tackle the difficulty when performing forecasting on time series data through isolated models (ARIMA, Linear Regression, Prophet, XGBoost), specified libraries for time series (sktime, AutoTS, Darts) and ensemble approaches (Bagging, Stacking, sktime, AutoTS).

lstm_encoder_decoder icon lstm_encoder_decoder

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

lstmccpr icon lstmccpr

ADeep Learning Approach for Classification and Early Detection of Control Chart Pattern Recognition

machine-learning-with-scikit-learn-python-3.x icon machine-learning-with-scikit-learn-python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lear

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

tpa-lstm icon tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting

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