From Local to Cloud - Mastering ML Model Deployment
Explore the journey of deploying machine learning models from local environments to cloud platforms.
Explore the journey of deploying machine learning models from local environments to cloud platforms.
Pytorch models for RSNA ATD AI Challenge, together with preprocessing using Pytorch and Monai for data loading and augmentations of volumentric data.
In today’s digital age, maintaining a personal journal has evolved from the traditional pen-and-paper approach to digital solutions that offer convenience an...
A webapp built with streamlit, with cockroachDB (postgreSQL).
A PID arduino controller for a peltier for temperature precise control.
Accepted pull request for a major feature proposal for the python package metric-learn.
This work was part of the final project for IPD423 - Advanced Signal Processing. The following report was the output from this endevour and summarizes the ch...
Stock market prediction using a GAN with an LSTM as generator and a FNN as discriminator. At inference the generator is used as a predictor.
Journal paper presenting an unsupervised approach for obtaining the spectral positions of spectrally-overlapped fiber Bragg grattings with experimental valid...
Conference paper presenting an unsupervised approach for obtaining the spectral positions of spectrally-overlapped fiber Bragg grattings (a type of fiber opt...