nichol77 / mlForPhysicistsLinks
Machine Learning For Physicists
☆17Updated 4 months ago
Alternatives and similar repositories for mlForPhysicists
Users that are interested in mlForPhysicists are comparing it to the libraries listed below
Sorting:
- This repository contains exercises and projects on computational science and AI for the CompSci program. Lecture notes at https://compph…☆16Updated 8 months ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-19 semest…☆62Updated last month
- A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analy…☆59Updated 9 years ago
- ☆11Updated last month
- A repo to learn and curate PINN☆22Updated last year
- Codes, tutorials and other resources associated with the textbook "Numerical Methods in Physics with Python" by Alex Gezerlis☆71Updated 2 years ago
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆75Updated 2 years ago
- ☆53Updated last year
- A series of self-study lectures on using Python for scientific computing at the graduate level in atomic physics and quantum optics.☆99Updated 10 years ago
- Jupyter Python Notebooks of "Computational Physics", Landau, Paez, Bordeianu☆43Updated 8 years ago
- This repository provide source code with solutions to all relevant exercises in the book entitled "A Computational Introduction to Quantu…☆13Updated 2 months ago
- Computational Physics codes☆62Updated 2 years ago
- An introductory course on computational physics taught at the University of Vermont☆11Updated 3 years ago
- My humble attempt to use Python and the package EinsteinPy to derive the field equations for various metrics. For explicit examples that…☆9Updated 3 years ago
- Simulation of an Ideal Gas to Verify Maxwell-Boltzmann distribution☆23Updated 4 years ago
- This repository contains all the notebooks used for the US-ATLAS ML Training 2023☆11Updated this week
- This site contains all document relevant for the Machine Learning courses of the Erasmus+ network. Jupyter-book link at https://compphys…☆13Updated last year
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…☆18Updated 3 months ago
- Material on Machine Learning methods applied to Physics analysis, with an emphasis on Regression and Deep Learning Methods. https://comp…☆20Updated 2 years ago
- Quantum physics exercises in Python via Jupyter Notebooks☆34Updated 6 years ago
- Quantum Mechanics and Schrodinger Equation Solvers in Python.☆56Updated 4 years ago
- A lightweight event generator for new physics in neutrino-nucleus scattering.☆13Updated 3 months ago
- Programs of exercises to accompany "Computational Physics" by N. Giordano and H. Nakanishi☆42Updated 9 years ago
- Tutorials for the Deep Learning in Particle Physics course, spring semester 2022, at the University of Heidelberg.☆12Updated 2 years ago
- A simple numerical MHD simulation code in python.☆13Updated 3 months ago
- Tutorial on computational astrophysics☆44Updated 2 years ago
- Finite Difference simulation of the Wave Equation (Double-slit experiment)☆24Updated last month
- This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor …☆64Updated 10 months ago
- This repository contains several sets of many-body codes developed by Morten Hjorth-Jensen and collaborators. The codes follow the GNU G…☆35Updated 2 years ago
- Code for calculating Coherent Elastic Neutrino-Nucleus Scattering (CEvNS) cross sections and recoil spectra. Also includes code for obtai…☆17Updated last year