oguiza

fastai_extensions

Code you can use jointly with fastai

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

Practical Deep Learning resources for Time series analysis and forecasting

DataAugmentation

Earthquakes

1st time series learning competition

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.

fastai

The fastai deep learning library

fastai-shell

nanoGPT

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

nbdev1

nbdev v1 (old version)

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

pipelines

Test pipelines using nbdev, ploomber and tsai.

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.

transdim

Machine learning for transportation data imputation and prediction.

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