SINGROUP / MutualInformation
Mutual Information codes
☆30Updated 6 years ago
Alternatives and similar repositories for MutualInformation
Users that are interested in MutualInformation are comparing it to the libraries listed below
Sorting:
- Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning☆25Updated 4 years ago
- Code for experimentation on graph scattering transforms☆29Updated 5 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- ☆11Updated 4 years ago
- Continuous-time gradient flow for generative modeling and variational inference☆31Updated 6 years ago
- ☆25Updated 3 years ago
- ☆15Updated 7 months ago
- Testing methods for estimating KL-divergence from samples.☆63Updated 2 months ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- local non-uniformity correction for mutual information estimation☆70Updated 3 years ago
- ☆59Updated 6 years ago
- Deep convolutional tensor network☆11Updated 4 years ago
- Lie Algebra Convolutional Network implementation☆44Updated 3 years ago
- Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model☆29Updated 7 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆32Updated 9 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)☆30Updated 4 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆65Updated 2 years ago
- Classification and reconstruction of optical quantum states with deep neural networks☆10Updated 3 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆45Updated last year
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- A neural network quantum ground state solver☆26Updated 7 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆47Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago