Python framework for short-term ensemble prediction systems.

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

Python Nowcasting

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

雷达回波外推，ConvLSTM，训练模型并外推。

LSTM neural networks for nowcasting economic data.

Satellite Optical Flow with machine learning models

Python code for downloading PV data from PVOutput.org

Code to create rich harmonised geographic data for PV installations from OpenStreetMap and other sources

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Subset Met Office MOGREPS-UK and UKV on AWS EC2

Tools for downloading and processing numerical weather predictions

(JOH under review) U-RNN High-resolution spatiotemporal nowcasting of urban flooding

⛈️ Code for the paper "End-to-End Prediction of Lightning Events from Geostationary Satellite Images"

API for hosting nowcasting solar predictions

pyFortraCC is a Python library for tracking and forecasting clusters.

AWS Lambda function for Met Office numerical weather predictions on S3

🧱 Wrappers for 3rd party models to be used with fold (/~https://github.com/dream-faster/fold)

Automated DFM Nowcasting Model and Platform for South Africa (Active Repo at coderaanalytics-models/SA-Nowcast)

Access open data gribs at any requested time stamp by efficiently parsing and utilizing optical flow methods to advect relevant parameters via a FastAPI interface.