sraeisi / Machine_Learning_Physics_Winter20Links
This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semester. For more information, see the course page at
☆22Updated 11 months ago
Alternatives and similar repositories for Machine_Learning_Physics_Winter20
Users that are interested in Machine_Learning_Physics_Winter20 are comparing it to the libraries listed below
Sorting:
- Tutorials for a mini course in machine learning and quantum physics☆42Updated 6 years ago
- A project on Fourier grid Hamiltonian method and Quantum Monte Carlo method☆17Updated 9 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆62Updated 6 years ago
- ☆25Updated 5 years ago
- Python interface for the Quantum Exact Simulation Toolkit (QuEST)☆20Updated 3 months ago
- Coding exercises for UPC QML course☆16Updated 5 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 6 years ago
- Quantum ground states from Reinforcement Learning☆17Updated 5 years ago
- Repository for figures and tex files of the book "Modern applications of machine learning in quantum sciences"☆21Updated 8 months ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆53Updated 4 years ago
- Announcements and nodes for my 2018 course in Computational Physics☆58Updated 7 years ago
- physics meets neural networks☆104Updated 7 years ago
- Website of the Machine Learning and the Physical Sciences workshop at NeurIPS conference☆21Updated last week
- ☆17Updated 4 years ago
- Density Matrix Renormalization Group (DMRG) in Python☆29Updated 13 years ago
- Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.☆52Updated this week
- fermionic Projected Entangled Pairs States (fPEPS)☆16Updated 7 years ago
- Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.☆38Updated last year
- This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".☆27Updated 4 years ago
- Riemannian optimization for quantum technologies☆65Updated 2 years 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
- Computational Physics codes☆64Updated 3 years ago
- Bayesian tensor network☆21Updated 6 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 3 years 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 …☆60Updated this week
- ☆11Updated 3 months ago
- Open collaboration of the Quantum Bootcamp 2020☆34Updated 5 years ago
- Rigorous free fermion entanglement renormalization from wavelet theory☆17Updated 2 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆21Updated 8 years ago
- QHACK: The Quantum Machine Learning Hackathon☆29Updated 6 years ago