CompPhysics / MachineLearning
Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and c…
☆167Updated this week
Related projects: ⓘ
- Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/…☆165Updated 4 months ago
- Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods …☆342Updated 2 years ago
- Computational Physics☆138Updated 2 years ago
- Code for "Machine Learning for Physicists" lecture series by Florian Marquardt☆268Updated 2 months ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆65Updated 4 years ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆180Updated 3 years ago
- A series of self-study lectures on using Python for scientific computing at the graduate level in atomic physics and quantum optics.☆88Updated 9 years ago
- Codes, tutorials and other resources associated with the textbook "Numerical Methods in Physics with Python" by Alex Gezerlis☆63Updated last year
- This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …☆56Updated 3 weeks ago
- Course at the graduate level on Quantum mechanics for many-particle systems. The link to lecture notes in the form of a jupyter-book is …☆42Updated this week
- A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analy…☆55Updated 8 years ago
- Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen☆162Updated 4 years ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-19 semest…☆52Updated 3 months ago
- computational physics class taught at UNLV (Phys300)☆109Updated 2 years ago
- Material on Machine Learning methods applied to Physics analysis, with an emphasis on Regression and Deep Learning Methods. https://comp…☆17Updated last year
- Simulation of an Ideal Gas to Verify Maxwell-Boltzmann distribution☆21Updated 4 years ago
- Programs for "Numerical Methods for Physics" by Alejandro Garcia☆86Updated 5 years ago
- Statistical Mechanics 2D Ising Model Simulations☆91Updated 9 years ago
- ☆31Updated this week
- A collection of interactive notebooks to explain concepts of quantum mechanics and related topics☆87Updated last week
- Python package for solving partial differential equations using finite differences.☆408Updated 3 weeks ago
- Quantum Mechanics and Schrodinger Equation Solvers in Python.☆54Updated 3 years ago
- Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston☆49Updated 7 months ago
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆74Updated last year
- ⚛️ A module for solving and visualizing the Schrödinger equation.☆17Updated 3 years ago
- This repository contains material pertinent to PHY321, Classical Mechanics at Michigan State University . Look up the jupyter-book at htt…☆34Updated 4 months ago
- List of awesome university courses to learn Plasma Physics and Fusion!☆48Updated last year
- Python package for calculating wavefunctions for 1D and 2D potentials.☆84Updated 9 years ago
- Machine learning and statistics for physicists☆94Updated 3 years ago
- A collection of scientific computing notebooks☆20Updated 6 months ago