SINGROUP / MutualInformationLinks
Mutual Information codes
☆30Updated 7 years ago
Alternatives and similar repositories for MutualInformation
Users that are interested in MutualInformation are comparing it to the libraries listed below
Sorting:
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- ☆11Updated 4 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆31Updated 5 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆33Updated 7 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Updated 4 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆80Updated 6 years ago
- Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model☆31Updated 7 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 4 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆98Updated 7 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 6 years ago
- This repo contains code for GeoMLE intrinsic dimension estimation algorithm☆20Updated 5 years ago
- A HOSVD implement in pytorch☆20Updated 6 years ago
- ☆27Updated 4 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 4 years ago
- Python implementation of the Ising model☆64Updated 5 years ago
- This repository contains implementations of some basic sampling methods in numpy.☆67Updated 5 years ago
- This repository contains code for handling the materials images and spectra dataset that is the largest expermental materials science dat…☆15Updated last year
- Library for normalizing flows and neural flows.☆26Updated 3 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- Hierarchical variational models for physics.☆18Updated 5 years ago
- ☆16Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- Graph Convolutional Networks in JAX☆33Updated 4 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Methods for estimating intrinsic dimension and methods for generating data on manifolds☆12Updated 6 years ago
- ☆38Updated 3 years ago
- Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"☆13Updated 5 years ago
- Config files for my GitHub profile.☆24Updated 9 months ago
- Implementation of the Gaussian Process Latent Variable Model.☆14Updated 3 years ago