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:
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆14Updated 4 years ago
- ☆11Updated 4 years ago
- Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model☆30Updated 7 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆78Updated 5 years ago
- A HOSVD implement in pytorch☆20Updated 6 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- ☆15Updated 9 months ago
- Continuous-time gradient flow for generative modeling and variational inference☆32Updated 6 years ago
- Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)☆30Updated 4 years ago
- Invariant representation learning from imaging and spectral data☆51Updated last year
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆93Updated last month
- Python code for the paper Bayesian Optimization of Nanoporous Materials.☆24Updated 2 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
- Python implementation of the Ising model☆63Updated 5 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.☆25Updated 4 years ago
- predicting equations from raw data with deep learning☆56Updated 6 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated last year
- Canonical normalizing flows☆10Updated 6 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 4 years ago
- This repository contains implementations of some basic sampling methods in numpy.☆67Updated 5 years ago
- A curated list of awesome resources on using machine learning and data science for discovery of physical laws☆35Updated 5 years ago
- Code for experimentation on graph scattering transforms☆30Updated 5 years ago
- Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation☆50Updated 5 years ago
- A neural network quantum ground state solver☆26Updated 8 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20Updated 4 years ago
- This repository contains the code corresponding to the ICML-2020 publication: https://arxiv.org/abs/2006.05722☆11Updated 4 years ago