GitHub

Deep Learning for empirical DownScaling

DL4DS (Deep Learning for empirical DownScaling) is a Python package that implements state-of-the-art and novel deep learning algorithms for empirical downscaling of gridded Earth science data. The ...
IEEE

Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview

Abstract: Radars are expected to become the main sensors in various civilian applications, ranging from health-care monitoring to autonomous driving. Their success is mainly due to the availability of ...

IIT courses that do not need a JEE score: Online, executive programmes that open doors for all

While JEE Main and Advanced remain mandatory for core undergraduate engineering degrees, IITs are steadily opening their ...
GitHub

A Python-based Decision-Focused Learning Toolbox

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...