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
☆83Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for RG-Flow
- 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 3 months ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆27Updated last month
- Continuous-time gradient flow for generative modeling and variational inference☆29Updated 6 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 2 weeks ago
- Machine learning Calabi-Yau metrics with JAX☆15Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated last year
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 5 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆9Updated 2 years ago
- Stochastic Normalizing Flows☆73Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆35Updated last year
- ☆11Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 5 months ago
- A JAX based package designed for efficient second order operators (e.g., laplacian) computation.☆70Updated 8 months ago
- ☆170Updated last year
- Differentiable scientific computing library☆141Updated 3 months ago
- physics meets neural networks☆94Updated 5 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Normalizing Flows using JAX☆82Updated 11 months ago
- Symplectic Recurrent Neural Networks☆27Updated last year
- ☆23Updated 2 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 3 years ago
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆51Updated 5 months ago
- Turning SymPy expressions into PyTorch modules.☆142Updated last year
- ☆48Updated 2 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆24Updated 5 months ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- ☆102Updated 3 years ago