{"repo":"timeseriesAI/tsai","free":true,"listed":false,"github":"https://github.com/timeseriesAI/tsai","clone":"git clone https://github.com/timeseriesAI/tsai.git","description":"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","language":"Jupyter Notebook","stars":6108,"topics":["time-series-classification","deep-learning","fastai","pytorch","timeseries","time-series","sequential","time-series-analysis","transformer","cnn"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"tsai Description State-of-the-art Deep Learning library for Time Series and Sequences. tsai is an open-source deep learning package built on top of Pytorch & fastai focused on state-of-the-art techniques for time series tasks like classification, regression, forecasting, imputation… tsai is currently under active development by timeseriesAI. What’s new: During the last few releases, here are some of the most significant additions to tsai : - New models : PatchTST (Accepted by ICLR 2023), RNN with Attention (RNNAttention, LSTMAttention, GRUAttention), TabFusionTransformer, … - New datasets : we have increased the number of datasets you can download using tsai : - 128 univariate classification datasets - 30 multivariate classification datasets - 15 regression datasets - 62 forecasting datasets - 9 long term forecasting datasets - New tutorials : PatchTST. Based on some of your requests, we are planning to release additional tutorials on data preparation and forecasting. - New functionality : sklearn-type pipeline transforms, walk-foward cross validation, reduced RAM requirements, and a lot of new functionality to perform more accurate time series forecasts. - Pytorch 2.0 support. Installation Installation Requires Python 3.10 or newer. As of tsai 1.0.0, support for Python 3.9 has been dropped. See the CHANGELOG for full upgrade notes if you’re coming from 0.x. Pip install Install the latest stable version from PyPI: For an editable install (development or bleeding-edge): tsai i","default_branch":null,"files":null,"tree":[],"storefront":"/r/timeseriesAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/timeseriesAI/tsai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}