lharries / PyTorch-AutoencodersLinks
Vanilla, Convolutional, VAE, Conditional VAE
☆20Updated 7 years ago
Alternatives and similar repositories for PyTorch-Autoencoders
Users that are interested in PyTorch-Autoencoders are comparing it to the libraries listed below
Sorting:
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 4 years ago
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆27Updated 4 years ago
- This is my PyTorch implementation of BiGAN☆14Updated 5 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Updated 4 years ago
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Updated 7 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆82Updated 5 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- ☆24Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- A complete implementation of the Pytorch neural network framework for GAN☆24Updated 4 years ago
- Improved training of Wasserstein GANs☆47Updated 4 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- ☆44Updated 5 years ago
- Stochastic Weight Averaging Tutorials using pytorch.☆33Updated 5 years ago
- GANs for class imbalanced problems☆29Updated 3 years ago
- Pytorch implementation of BiGAN and Conditional BiGAN☆24Updated 6 years ago
- Autoencoders in PyTorch☆97Updated 3 years ago
- A Pytorch Implementation of the Beta-VAE☆45Updated 6 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 3 years ago
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Updated 3 years ago
- ☆112Updated 3 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- A Pytorch Implementation of a denoising autoencoder.☆47Updated 6 years ago
- Tiny ImageNet Classification Exercise with PyTorch☆16Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆21Updated 6 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 3 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 5 years ago