sksteinke / schroedinger-deeplearningLinks
A simple neural network solver for the 1-D Schrödinger equation.
☆44Updated 7 years ago
Alternatives and similar repositories for schroedinger-deeplearning
Users that are interested in schroedinger-deeplearning are comparing it to the libraries listed below
Sorting:
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆199Updated 4 years ago
- ☆177Updated 2 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆78Updated 5 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- Neural Network Many-Body Wavefunction Reconstruction☆175Updated 3 weeks ago
- physics meets neural networks☆98Updated 6 years ago
- Computational Physics☆152Updated 3 years ago
- Tutorials for a mini course in machine learning and quantum physics☆42Updated 6 years ago
- Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy☆76Updated 2 years ago
- Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Phys …☆61Updated 7 years ago
- "Computational modeling and visualization" resource repository☆30Updated 2 years ago
- Code used for experiments in https://arxiv.org/abs/2008.08601☆19Updated 4 years ago
- A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.☆48Updated 8 years ago
- Code for "Machine Learning for Physicists" lecture series by Florian Marquardt☆309Updated 3 months ago
- Code repository for the paper "Constraining Effective Field Theories with Machine Learning"☆21Updated 5 years ago
- Jupyter Notebooks that demonstrate SymPy's symbolic quantum mechanics package.☆65Updated 3 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆94Updated 2 months ago
- Ipython notebooks for our QM class based on Mark Beck's book "Quantum Mechanics: Theory and Experiment"☆38Updated 3 years ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…☆20Updated 5 months ago
- Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.☆116Updated 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.☆102Updated 10 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 7 years ago
- Monte Carlo simulation on 2D XY-model☆25Updated 6 years ago
- Lectures on QuTiP: slides and ipython notebooks☆332Updated 2 years ago
- A neural network quantum ground state solver☆26Updated 8 years ago
- Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…☆162Updated 6 years ago
- QuTiP web pages☆14Updated last week
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago
- a Monte Carlo simulation code for classical spin systems like the Ising model☆22Updated 10 years ago