mboudiaf / Mutual-Information-Variational-BoundsLinks
A Tensorflow implementation Mutual Information estimation methods
☆48Updated 2 years ago
Alternatives and similar repositories for Mutual-Information-Variational-Bounds
Users that are interested in Mutual-Information-Variational-Bounds are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- ☆93Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆119Updated 3 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆205Updated 7 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- Implementation of Multi-View Information Bottleneck☆136Updated 5 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆50Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- ☆36Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆51Updated 4 years ago
- ☆59Updated 2 years ago
- Mutual Information Neural Estimation in Pytorch☆347Updated last year
- Mutual Information Neural Entropic Estimation☆26Updated 2 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆41Updated 4 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- ☆42Updated 5 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 7 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆119Updated 4 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year