Stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
10 Weeks, 20 Lessons, Data Science for All!
Anthropic's Interactive Prompt Engineering Tutorial
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…
Lab Materials for MIT 6.S191: Introduction to Deep Learning
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Lectures on scientific computing with python, as IPython notebooks.
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
A short course on Julia and open-source software development
QICK: Quantum Instrumentation Control Kit
Collection of Tutorials and other Quantum Computer programming related things.
This can construct the tight-binding model and calculate energies
Code for implementing and experimenting with quantum algorithms
A validated design database and simulation workflow software for superconducting quantum hardware
Exercises for the Jyväskylä summer school 2022
Tutorial on Variational Quantum Eigensolver (VQE). Originally created for QOSF Mentorship Screening Task Submission (Task 4, batch 2020).
Compute the reflective properties of a dielectric mirror