Machine-learning-and-complex-systems / NNCME
☆37Updated last year
Alternatives and similar repositories for NNCME
Users that are interested in NNCME are comparing it to the libraries listed below
Sorting:
- ☆15Updated 7 months ago
- Machine learning for physicists☆124Updated 2 years ago
- ☆22Updated 6 months ago
- Monte Carlo simulation on 2D XY-model☆25Updated 5 years ago
- Chemical Reaction Neural Network☆88Updated 9 months ago
- 2-D XY Model with Monte Carlo method to simulate the KT Phase Transition☆16Updated 8 years ago
- A JAX based package designed for efficient second order operators (e.g., laplacian) computation.☆71Updated last year
- Machine Learning Phase of matter☆13Updated 5 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆92Updated 3 weeks ago
- Differentiable Tensor Renormalization Group for square Ising☆17Updated 6 years ago
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆32Updated 7 years ago
- Worm Algorithm for Bose-Hubbard and XXZ models☆26Updated 2 years ago
- Computational graph representation of multiloop Feynman diagrams☆49Updated last month
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆16Updated 2 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆62Updated 2 months ago
- ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"☆37Updated 2 years ago
- Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo☆63Updated 5 months ago
- ☆13Updated 3 years ago
- ☆18Updated 5 years ago
- Mathematical Introduction to Electronic Structure Theory☆46Updated 6 years ago
- ☆25Updated 3 years ago
- ☆23Updated 2 years ago
- Lecture notes from Introduction to Conformal Field Theory course given by Dr. Tobias Osborne.☆14Updated 3 years ago
- This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".☆28Updated 3 years ago
- Machine Learning Renormalization Group☆19Updated last year
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 2 months ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆30Updated 11 months ago
- Flexible, general-purpose VMC framework, built on JAX.☆26Updated 3 weeks ago
- andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the A…☆29Updated 4 months ago