drckf / mlreview_notebooksLinks
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
☆203Updated 4 years ago
Alternatives and similar repositories for mlreview_notebooks
Users that are interested in mlreview_notebooks are comparing it to the libraries listed below
Sorting:
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆72Updated 6 years ago
- Code for "Machine Learning for Physicists" lecture series by Florian Marquardt☆321Updated 8 months ago
- Computational Physics☆155Updated 3 years ago
- ☆174Updated 2 years ago
- Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.☆118Updated 4 years ago
- A simple neural network solver for the 1-D Schrödinger equation.☆44Updated 8 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☆78Updated 3 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 6 years ago
- physics meets neural networks☆103Updated 7 years ago
- Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.☆51Updated last month
- Source for The Tensor Network open-source review article☆177Updated last week
- Differentiable Programming Tensor Networks☆144Updated 4 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…☆22Updated 10 months ago
- Repository for figures and tex files of the book "Modern applications of machine learning in quantum sciences"☆21Updated 7 months ago
- Create an open-source library in Python for your scientific research.☆85Updated 2 years ago
- A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analy…☆60Updated 10 years ago
- Exercises and notes for N.G. Van Kampen's Stochastic Processes in Physics and Chemistry☆39Updated 7 months ago
- Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"☆58Updated last year
- My notes from Advanced Quantum Theory (taught by Tobias Osborne). This course covers the mathematical formalism and physics of many-parti…☆44Updated 4 years ago
- A Mathematica package for performing calculations involving matrices/vectors in the Dirac notation which is usually used in quantum mecha…☆65Updated 2 years ago
- Reconstructing quantum states with generative models☆52Updated 6 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆53Updated 3 years ago
- Statistical Mechanics 2D Ising Model Simulations☆106Updated 11 years ago
- A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…☆29Updated 4 years ago
- "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake☆178Updated 5 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆70Updated 3 months ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆79Updated last year
- ☆25Updated 5 years ago
- PyTorch toolbox for matrix product state models☆164Updated last year