Machine-learning-and-complex-systems / NNCMELinks
☆39Updated this week
Alternatives and similar repositories for NNCME
Users that are interested in NNCME are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 months ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆98Updated 6 months ago
- ☆16Updated last year
- Machine learning for physicists☆136Updated 2 years ago
- Monte Carlo simulation on 2D XY-model☆25Updated 6 years ago
- ☆27Updated 4 years ago
- 2-D XY Model with Monte Carlo method to simulate the KT Phase Transition☆17Updated 9 years ago
- A generic and fast solver of mode-coupling theory-like integrodifferential equations☆21Updated 2 months ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated 2 years ago
- physics meets neural networks☆102Updated 7 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆29Updated 2 weeks ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆53Updated 3 years ago
- ☆31Updated 5 years ago
- Mathematical Introduction to Electronic Structure Theory☆47Updated 6 years ago
- A JAX based package designed for efficient second order operators (e.g., laplacian) computation.☆74Updated last year
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆67Updated 2 months ago
- Code for predicting ground state properties using new ML model.☆12Updated last year
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆63Updated 7 months ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆31Updated last year
- ☆43Updated 8 months ago
- Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo☆72Updated last year
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆31Updated 5 years ago
- Bayesian tensor network☆21Updated 5 years ago
- ☆23Updated 3 years ago
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆33Updated 7 years ago
- variational free-energy of dense hydrogen☆13Updated 2 years ago
- Quantum 290 Seminar from 2020 Fall - ongoing☆35Updated last week
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆80Updated 6 years ago
- Differentiable Tensor Renormalization Group for square Ising☆18Updated 6 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 4 years ago