{"repo":"WenjieDu/TSDB","free":true,"listed":false,"github":"https://github.com/WenjieDu/TSDB","clone":"git clone https://github.com/WenjieDu/TSDB.git","description":"a Python toolbox loads 173 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.","language":"Python","stars":239,"topics":["time-series","time-series-database","time-series-analysis","time-series-datasets","partially-observed-time-series","classification","forecasting","imputation","deep-learning","machine-learning"],"license":"BSD-3-Clause","category":"machine-learning","readme_excerpt":"Welcome to TSDB load 173 public time-series datasets with a single line of code ;-) TSDB is a part of PyPOTS (a Python toolbox for data mining on Partially-Observed Time Series), and was separated from PyPOTS for decoupling datasets from learning algorithms. TSDB is created to help researchers and engineers get rid of data collecting and downloading, and focus back on data processing details. TSDB provides all-in-one-stop convenience for downloading and loading open-source time-series datasets (available datasets listed below). ❗️Please note that due to people have very different requirements for data processing, data-loading functions in TSDB only contain the most general steps (e.g. removing invalid samples) and won't process the data (not even normalize it). So, no worries, TSDB won't affect your data preprocessing. If you only want the raw datasets, TSDB can help you download and save raw datasets as well (take a look at Usage Examples below). 🤝 If you need TSDB to integrate an open-source dataset or want to add it into TSDB yourself, please feel free to request for it by creating an issue or make a PR to merge your code. 🤗 Please star this repo to help others notice TSDB if you think it is a useful toolkit. Please properly cite TSDB and PyPOTS in your publications if it helps with your research. This really means a lot to our open-source research. Thank you! ❖ Usage Examples [!IMPORTANT] TSDB is available on both and ❗️ Install via pip: pip install tsdb or install from","default_branch":null,"files":null,"tree":[],"storefront":"/r/WenjieDu","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/WenjieDu/TSDB/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."}