Our great sponsors
-
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
-
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.
Was offline most of today. It's here. Basically Flow Forecast is a deep learning for time series framework built in PyTorch that aims to make it easy to use recent models from research conferences in a production/business context as well as conduct research.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.
Related posts
- PyTorch Forecasting lr_find out of bounds - request for help
- Flow Forecasting: A state of the deep learning for time series library
- Flow Forecast (deep learning for time series forecasting framework) Version 0.95 Released: New Deep Learning Models, Better Interpretability Support, and Several Bug Fixes
- Deep Learning for Time Series Forecasting with Flow Forecast (Built in PyTorch)
- Flow Forecast: An open source deep learning library for time series forecasting