16 dependents
| Package | Description | Downloads/month |
|---|---|---|
| A unified framework for machine learning with time series | 1.2M | |
| Python Toolkit for Causal and Probabilistic Reasoning | 448K | |
| Forecasting timeseries with PyTorch - dataloaders, normalizers, metrics and mode... | 370K | |
| Kalman Filter, Smoother, and EM Algorithm for Python | 293K | |
| A unified framework for tabular probabilistic regression, time-to-event predicti... | 210K | |
| Financial portfolio optimisation in python, including classical efficient fronti... | 159K | |
| A unified framework for Deep Learning Models on tabular data | 29K | |
| A unified interface for optimization algorithms and experiments | 6K | |
| A Python package to generate bootstrapped time series | 3K | |
| An extension of XGBoost to probabilistic modelling | 3K | |
| A multiverse of prophet models, for forecasting and Marketing Mix Modeling. | 3K | |
| An extension of LightGBM to probabilistic modelling | 3K | |
| Python Toolkit for Causal and Probabilistic Reasoning | 236 | |
| Python library for aptamer simulation | 204 | |
| Python library for aptamer simulation | 198 | |
| 107 |
