andiva / DeepLieNetLinks
tensor Lie transform as polynomial neural network in TensorFlow
☆11Updated 6 years ago
Alternatives and similar repositories for DeepLieNet
Users that are interested in DeepLieNet are comparing it to the libraries listed below
Sorting:
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆31Updated 11 months ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆80Updated 6 years ago
- Hierarchical variational models for physics.☆18Updated 5 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆32Updated 5 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆100Updated 8 months ago
- This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …☆88Updated 3 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 7 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- Field Guide to Continuous Probability Distributions by Gavin E. Crooks☆27Updated 3 years ago
- ☆174Updated 2 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆21Updated 8 years ago
- ☆34Updated 5 years ago
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆41Updated 5 years ago
- Computations involving Lie groups and harmonic analysis☆206Updated 11 months ago
- ☆16Updated 3 years ago
- Solving Optimization Problems with JAX, code and PDF☆17Updated 5 years ago
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆12Updated 4 years ago
- Wigner's 3J, 6J, 9J symbols for python☆22Updated 6 months ago
- Neural network architecture that is fully equivariant with respect to transformations under the Lorentz group, a fundamental symmetry of …☆51Updated 3 years ago
- ☆274Updated 2 years ago
- Tensor Train Toolbox☆125Updated 3 months ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆72Updated 6 years ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated 2 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆26Updated 7 years ago
- Right-size my figures☆192Updated 6 months ago
- Neural Monte Carlo Renormalization Group☆15Updated 5 years ago
- ☆28Updated 4 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago