tilman151 / ae_bakeoffLinks
The Great Autoencoder Bake Off
☆66Updated 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:
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 3 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆59Updated 5 years ago
- A Pytorch Implementation of the Beta-VAE☆45Updated 6 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 7 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- ☆66Updated 6 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago
- Another Domain Adaptation library, aimed at researchers.☆104Updated 9 months ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆62Updated 6 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆38Updated last year
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 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☆111Updated last year
- Disentanglement library for PyTorch☆283Updated 3 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- code for paper "Graph Structure of Neural Networks"☆156Updated 4 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆131Updated 5 years ago
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Updated 6 years ago
- ☆24Updated 4 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago