oguiza

DataAugmentation

Earthquakes

1st time series learning competition

fastai_extensions

Code you can use jointly with fastai

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Practical-Deep-Learning-Applied-to-Time-Series

Practical Deep Learning resources for Time series analysis and forecasting

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

oguiza/fastai_extensions

Code you can use jointly with fastai

oguiza/Practical-Deep-Learning-Applied-to-Time-Series

Practical Deep Learning resources for Time series analysis and forecasting

oguiza/DataAugmentation

oguiza/Earthquakes

1st time series learning competition

oguiza/Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

oguiza/fastai

The fastai deep learning library

oguiza/fastai-shell

oguiza/nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

oguiza/nbdev1

nbdev v1 (old version)

oguiza/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

oguiza/pipelines

Test pipelines using nbdev, ploomber and tsai.

oguiza/PyPOTS

A python toolbox / library for data mining on partially-observed time series, supporting tasks of forecasting / imputation / classification / clustering on incomplete (irregularly-sampled) multivariate time series with missing values.

oguiza/transdim

Machine learning for transportation data imputation and prediction.

oguiza/tsai-1

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai