wdphy16 / stat-mech-vanLinks
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
☆93Updated last month
Alternatives and similar repositories for stat-mech-van
Users that are interested in stat-mech-van are comparing it to the libraries listed below
Sorting:
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆78Updated 5 years ago
- Bayesian tensor network☆21Updated 5 years ago
- physics meets neural networks☆98Updated 6 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Differentiable Programming Tensor Networks☆143Updated 4 years ago
- ☆18Updated 5 years ago
- This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …☆86Updated 2 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 7 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆51Updated 3 years ago
- code for Unsupervised Generative Modeling using Matrix Product States☆44Updated 2 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 4 months ago
- Probabilistic modelling with tensor networks☆28Updated 5 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 2 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 6 years ago
- ☆16Updated 3 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- ☆26Updated 4 years ago
- Monte Carlo simulation on 2D XY-model☆24Updated 5 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆32Updated 6 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆65Updated 4 months ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago
- A collection of lectures and tutorials☆19Updated last year
- A neural network quantum ground state solver☆26Updated 8 years ago
- Mathematical Introduction to Electronic Structure Theory☆46Updated 6 years ago
- Contracting Arbitrary Tensor Networks☆41Updated 5 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆78Updated last year
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆35Updated last year