tilman151 / ae_bakeoffLinks
The Great Autoencoder Bake Off
☆68Updated 4 years ago
Alternatives and similar repositories for ae_bakeoff
Users that are interested in ae_bakeoff are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆114Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆92Updated 2 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆205Updated 3 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 4 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆38Updated 11 months ago
- Another Domain Adaptation library, aimed at researchers.☆100Updated 3 months ago
- The author's officially unofficial Pytorch EvolutionaryGAN implementation.☆67Updated 5 years ago
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆109Updated last year
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆84Updated 11 months ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- A Pytorch Implementation of the Beta-VAE☆44Updated 5 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆56Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- Mutual Information Neural Estimator implemented in Tensorflow☆46Updated 6 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆51Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- ☆81Updated 3 years ago
- ☆42Updated 2 years ago