Optimization and parallelization for Monte Carlo calculations, mostly tailored to C++ programming

Summary of course FYS5429/9429

Autoencoders and principal Component analysis

What Makes for ‘Good’ Math? | Podcast: Joy of Why

Physics-informed neural networks (PINNs)

How does a calculator find sinx?

Neil deGrasse Tyson & Janna Levin Answer Mind-Blowing Fan Questions

applied quantum mechanics

The Matrix Calculus You Need for Deep Learning - Part 1

Autoencoders and principal component analysis, part 2

The human bias hidden within scientific practises | Neil Turok, Lisa Randall, Martin Cohen

Quantum Fourier transforms, basis equations. Part 1.

40x less overhead! Rateless Invertible Bloom Filters - Part 3 of 3

Math Olympiad | Can you solve this ? | A Nice Algebra Equation with Square Roots

Introduction to generative methods, basic mathematical properties and intro to Boltzmann machines

Generative methods: From energy-based models to variational autoencoders, part 3

Review of Fourier transforms, discrete Fourier and motivation for Quantum Fourier transforms part1

Simulation By Data ONLY: Fourier Neural Operator (FNO)

Deep learning and quantum mechanics, using Boltzmann machines in VMC calculations, Part 2