rdevon / DIMLinks
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
☆807Updated 6 years ago
Alternatives and similar repositories for DIM
Users that are interested in DIM are comparing it to the libraries listed below
Sorting:
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago
- Approximating Wasserstein distances with PyTorch☆459Updated 2 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆540Updated 6 years ago
- A curated list of research papers related to learning disentangled representations☆464Updated 6 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆400Updated 5 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,324Updated 4 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆346Updated 6 years ago
- ☆576Updated 2 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆755Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆493Updated last year
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆461Updated 5 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆295Updated 6 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆353Updated 6 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆707Updated 5 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆291Updated 2 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆507Updated 3 years ago
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,403Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆562Updated 6 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,147Updated 3 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆444Updated 7 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆309Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆467Updated 6 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆486Updated 3 years ago
- Pytorch implementation of β-VAE☆548Updated 4 years ago
- Wasserstein Auto-Encoders☆508Updated 7 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆351Updated 2 years ago
- Unsupervised Domain Adaptation Papers and Code☆758Updated 3 years ago