This is a repo with links to everything you'd ever want to learn about data engineering

Google Research

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

The fastest way to create an HTML app

Taming Transformers for High-Resolution Image Synthesis

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Text and supporting code for Think Stats, 2nd Edition

A guide on how to understand the performance of your battery with modelling and improve it

Book repository "Analysis and Design of Elementary MOS Amplifier Stages"

Implementation of the vanilla Deep Hedging engine

Notes on Machine Learning on edge for embedded/sensor/IoT uses

A High-Throughput Oversampled Polyphase Filter Bank Using Vivado HLS and PYNQ on a RFSoC