hongyehu / RG-Flow
This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
☆85Updated 2 years ago
Alternatives and similar repositories for RG-Flow:
Users that are interested in RG-Flow are comparing it to the libraries listed below
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆91Updated 6 months ago
- Continuous-time gradient flow for generative modeling and variational inference☆30Updated 6 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 2 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated 3 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆35Updated 2 years ago
- Stochastic Normalizing Flows☆73Updated 3 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- A collection of lectures and tutorials☆18Updated 7 months ago
- JAX accelerated Quantum Monte Carlo☆68Updated last month
- ☆11Updated 3 years ago
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆38Updated 4 years ago
- ☆48Updated 2 years ago
- ☆23Updated 2 years ago
- ☆173Updated last year
- physics meets neural networks☆96Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- Autoregressive model for solving statistical mechanics problems☆11Updated 3 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 6 years ago
- ☆16Updated 2 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Counting the number of conservation laws from trajectory data☆19Updated 3 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆25Updated 7 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆76Updated 7 months ago
- Example code for NeurIPS 2022 paper "Differentiable Analog Quantum Computing for Learning and Control"☆16Updated last year
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- Machine learning Calabi-Yau metrics with JAX☆17Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆56Updated 7 months ago