ccha23 / MI-NEELinks
Mutual Information Neural Entropic Estimation
☆26Updated 2 years ago
Alternatives and similar repositories for MI-NEE
Users that are interested in MI-NEE are comparing it to the libraries listed below
Sorting:
- A Tensorflow implementation Mutual Information estimation methods☆47Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 6 years ago
- Mutual Information Neural Estimation in Pytorch☆332Updated 10 months ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- ☆91Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆199Updated 7 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 5 months ago
- ☆41Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆210Updated 6 years ago
- ☆59Updated 2 years ago
- demonstration of the information bottleneck theory for deep learning☆64Updated 7 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆86Updated 3 years ago
- Testing methods for estimating KL-divergence from samples.☆65Updated 4 months ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated last year
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆276Updated 7 years ago
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆340Updated last year
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆73Updated 5 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆82Updated 5 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- pytorch implementation for "Student-t Variational Autoencoder for Robust Density Estimation".☆27Updated 3 years ago
- The HSIC Bottleneck: Deep Learning without Back-Propagation☆86Updated 4 years ago