These tools are all things I find useful while doing any kind of Automatic Speech Recognition (ASR) research. These are things I wish had existed when I was first learning about ASR and so I thought I ...

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

I've worked to create this Python library as part of an effort to familiarize myself with calculating discounted cash flows working directly with a company's financial statements. 📈 📉 I have found ...

If there’s one thing that doesn’t go down well with big software updates, it is when they break some of the core functionality and basic applications, and that’s exactly what happened with the latest ...