I want to obtain the evaluation of different datasets of a single job lumi eval -h && lumi eval -c config_ssd.yml --split valid --split train --split test --watch --from-global-step 0
This repository contains the python script for extracting the resonant frequency and Q_c factor from a Sonnet Data file simulating an MKID. The algorithm is detailed in the .pdf file.
In this project I explore an potential approach to estimate a human’s intention in a dyadic collaborative manipulation task by learning to predict the intended future trajectory of the co-manipulated object via the latent graph representation of the system.
In this project a Machine Learning model is trained for learning a simulator for Material-Flow systems, where the Machine Learning model is based on Graph Neural Networks. The data for training the model is generated using an accurate physicbased simulator.
Feature Request
I want to obtain the evaluation of different datasets of a single job
lumi eval -h && lumi eval -c config_ssd.yml --split valid --split train --split test --watch --from-global-step 0I understand that it is not so trivial because it was being kept as a summary of work scalars like this
![image](https://user-images.githubusercontent.com/7362688/48442210-8be6d080-e75b