Our great sponsors
-
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
I mean a lot of deep learning models are more interpretable than you would think. There are a lot of methods to explain model predictions. In the deep learning for time series forecasting framework that I help maintain for example we automatically create SHAP plots to show relevant features. You can also visualize the attention mechanism directly.
-
Maybe give a shot to Darts. It's a Python library for timeseries with a scikit-learn-like API. It includes processing and forecasting with models from ARIMA to Transformer. I found their blog post to be a good getting started.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
Neural Prophet: https://github.com/ourownstory/neural_prophet
-
Related posts
- Why are there so many more statistics courses in R and so few in Python?
- Time series forecasting with non-temporal information
- Comparison of Time Series Forecasting Discussion
- Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
- A python library for easy manipulation and forecasting of time series.