vinayprabhu / Disentanglement_NEURIPS_2019Links
On disentangling the menagerie of disentanglement papers
☆27Updated 5 years ago
Alternatives and similar repositories for Disentanglement_NEURIPS_2019
Users that are interested in Disentanglement_NEURIPS_2019 are comparing it to the libraries listed below
Sorting:
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- ☆91Updated 6 years ago
- A library for evaluating representations.☆77Updated 3 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Prescribed Generative Adversarial Networks☆143Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆85Updated 5 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- [NeurIPS 2019] Deep Set Prediction Networks☆100Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Notes from NeurIPS 2019☆29Updated 5 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
- Source code for ICLR 2019 paper☆24Updated 4 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)☆28Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- A machine learning library for PyTorch☆93Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker☆47Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago