MasanoriYamada / Mine_pytorchLinks
MINE: Mutual Information Neural Estimation in pytorch (unofficial)
☆205Updated 6 years ago
Alternatives and similar repositories for Mine_pytorch
Users that are interested in Mine_pytorch are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- Learning deep representations by mutual information estimation and maximization☆325Updated 6 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- ☆68Updated 6 years ago
- ☆91Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆200Updated 7 years ago
- A machine learning library for PyTorch☆93Updated 3 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 5 years ago
- ☆237Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 6 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆810Updated 6 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆277Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆210Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆152Updated 5 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- A Tensorflow implementation Mutual Information estimation methods☆47Updated 2 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆90Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆230Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆215Updated 5 years ago