tsai
TS Library
A comprehensive deep learning package for time series data analysis and forecasting.
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
5k stars
66 watching
659 forks
Language: Jupyter Notebook
last commit: almost 2 years agoclassificationcnndeep-learningfastaiforecastinginceptiontimemachine-learningpythonpytorchregressionrnnrocketself-supervisedsequentialstate-of-the-arttime-seriestime-series-analysistime-series-classificationtimeseriestransformer
Related projects:
| Repository | Description | Stars |
|---|---|---|
 sktime/pytorch-forecasting | A PyTorch-based package for state-of-the-art time series forecasting with deep learning architectures | 4,038 |
 awslabs/gluonts | A Python package for building probabilistic models of time series data using deep learning techniques. | 4,677 |
 blue-yonder/tsfresh | An automated feature extraction tool for time series data, removing irrelevant features and improving machine learning model performance. | 8,486 |
 tslearn-team/tslearn | A Python toolkit for time series analysis and machine learning algorithms | 2,924 |
 fastai/fastai | Provides high-level components for practical deep learning tasks and low-level components for building new approaches | 26,390 |
| sktime/sktime | A unified framework for machine learning with time series data analysis | 8,020 |
 jaungiers/lstm-neural-network-for-time-series-prediction | A Python implementation of a Long Short-Term Memory neural network designed for predicting time series data sequences | 4,862 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 aistream-peelout/flow-forecast | An open-source deep learning framework for time series forecasting and analysis | 2,080 |
 shenweichen/deepctr-torch | A PyTorch-based package for building and training click-through rate models using various deep learning architectures. | 3,055 |
 unit8co/darts | A Python library for user-friendly time series forecasting and anomaly detection | 8,166 |
 nixtla/mlforecast | A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
 locuslab/tcn | An empirical evaluation of generic convolutional and recurrent networks for sequence modeling | 4,204 |
 skforecast/skforecast | A Python library for building machine learning models to forecast time series data | 1,189 |
 hfawaz/dl-4-tsc | This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |