Name | Version | Summary | date |
mosqlient |
1.7.2 |
client library for the mosqlimate client library |
2024-12-19 16:28:17 |
aeon |
1.0.0 |
A toolkit for machine learning from time series |
2024-11-28 17:25:52 |
metaforecast |
0.1.7 |
Meta-learning and Data-centric Forecasting |
2024-11-26 22:41:48 |
pysatSpaceWeather |
0.2.1 |
pysat support for Space Weather Indices |
2024-11-18 14:54:49 |
sam |
4.0.0 |
Time series anomaly detection and forecasting |
2024-11-14 13:51:49 |
skforecast |
0.14.0 |
Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others. |
2024-11-11 13:34:49 |
TokenProbs |
1.0.3 |
Extract token-level probabilities from LLMs for classification-type outputs. |
2024-10-31 18:49:33 |
macroframe-forecast |
0.1.2 |
Macroframework forecasting with accounting identities |
2024-10-08 21:40:15 |
pypots |
0.8.1 |
A Python Toolbox for Machine Learning on Partially-Observed Time Series |
2024-09-26 05:57:24 |
cubedpandas |
0.2.37 |
Filter faster, analyze smarter – your DataFrames deserve it! |
2024-09-23 12:42:22 |
timely-beliefs |
3.1.0 |
Data modelled as beliefs (at a certain time) about events (at a certain time). |
2024-09-20 07:43:52 |
ai4ts |
0.0.3 |
AI for Time Series |
2024-09-14 02:08:54 |
TimeSeriesAI |
0.0.0 |
AI for Time Series |
2024-09-07 16:53:00 |
neuralstockprophet |
0.0.3 |
LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting. |
2024-09-06 08:34:38 |
benchpots |
0.2.2 |
A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series |
2024-08-14 17:38:01 |
momentfm |
0.1.1 |
MOMENT: A Family of Open Time Series Foundation Models |
2024-08-09 02:39:19 |
forecast-tools |
0.3.0 |
Tools to support forecasting education in Python |
2024-07-30 14:29:16 |
tsdb |
0.6.1 |
TSDB (Time Series Data Beans): a Python toolbox helping load 172 open-source time-series datasets |
2024-07-27 05:03:25 |
torch-spatiotemporal |
0.9.5 |
A PyTorch library for spatiotemporal data processing |
2024-07-18 14:28:33 |
CEEMDAN-LSTM |
1.2.1 |
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM. |
2024-07-08 05:29:50 |