jaanli / hierarchical-variational-models-physicsLinks
Hierarchical variational models for physics.
☆17Updated 5 years ago
Alternatives and similar repositories for hierarchical-variational-models-physics
Users that are interested in hierarchical-variational-models-physics are comparing it to the libraries listed below
Sorting:
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 2 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 4 months ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆23Updated 2 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 3 months ago
- A tool for weighted model counting through tensor network contraction☆21Updated 3 years ago
- Bayesian tensor network☆21Updated 5 years ago
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆11Updated 3 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 4 years ago
- ☆25Updated 4 years ago
- Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"☆14Updated 2 years ago
- Code for Hutch++: Optimal Stochastic Trace Estimation☆11Updated 3 years ago
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- Implementation of Quantum Ising Born Machine☆19Updated 5 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆32Updated 6 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- A neural network quantum ground state solver☆26Updated 8 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Fast tensor disentangling algorithm☆10Updated 4 years ago
- Computational graph states for variational monte carlo☆16Updated 5 years ago
- Groundstate Reconstructive Energies using Neural Autoregressive Distribution Estimators (GreNADE)☆9Updated 3 years ago
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆41Updated 4 years ago
- A collection of lectures and tutorials☆19Updated last year
- Probabilistic modelling with tensor networks☆28Updated 5 years ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆19Updated 2 years ago
- PhysicsML Blog☆28Updated 4 years ago
- Algorithm for loopy belief propagation used in 'Belief propagation for networks with loops', for the zero-field Ising model.☆9Updated 3 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago