Explore projects

Python library to predict no2 concentrations based on Innosense instrument output.

Inference on the Intel Neural Compute Stick 2

Docker container with java micro webservice communicating in JSON to provide multi-criteria decision analysis (MCDA) for the RISKGONE project https://doi.org/10.5281/zenodo.7467912

Train/evaluate/predict DNN models dealing with timeseries and geo-information on CPU/GPU machines.

Dealing with tiles surrounding specific locations from geoserver

Data processing for ACSM instruments (data lev 0 to 1 and 1 to 2)

Development at NCAR with S. Alessandrini of modifications to B. Anderson code