Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
☆15Aug 23, 2018Updated 7 years ago
Alternatives and similar repositories for doping
Users that are interested in doping are comparing it to the libraries listed below
Sorting:
- We propose a new variant GAN model to deal with image generation and transformation,especially in facial attributes area.☆12Nov 16, 2017Updated 8 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆11Aug 20, 2018Updated 7 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Jun 16, 2020Updated 5 years ago
- Residual attention generative adversarial networks for image-to-image translation☆13Oct 14, 2018Updated 7 years ago
- Empirical comparison of penalized linear regression in high-dimensional settings☆12Feb 12, 2020Updated 6 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Implementation of ChoiceNet☆127Jul 31, 2018Updated 7 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13May 3, 2018Updated 7 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57May 3, 2019Updated 6 years ago
- Code for the results of the Paper:☆21May 17, 2018Updated 7 years ago
- ☆29Feb 6, 2018Updated 8 years ago
- Source code for Skip-GANomaly paper☆197Dec 8, 2022Updated 3 years ago
- ☆19Feb 6, 2019Updated 7 years ago
- Implementation of the HMAX model of vision in PyTorch☆61May 26, 2023Updated 2 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Nov 10, 2017Updated 8 years ago
- Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".☆19May 25, 2018Updated 7 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Oct 30, 2019Updated 6 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆79Sep 5, 2019Updated 6 years ago
- Project hosted at Stanford University examining developmental changes in children's drawings☆21Sep 9, 2022Updated 3 years ago
- Capsule research with our trivial contribution☆53Aug 14, 2018Updated 7 years ago
- Pytorch implementation of "Estimating the Success of Unsupervised Image to Image Translation" ECCV 2018☆18Apr 6, 2019Updated 6 years ago
- Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"☆24Sep 7, 2018Updated 7 years ago
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆80Jan 4, 2018Updated 8 years ago
- Person Re-identification☆16Dec 18, 2018Updated 7 years ago
- ☆24Jun 1, 2020Updated 5 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆138Mar 25, 2019Updated 6 years ago
- Compositional GAN: Learning Image-Conditional Binary Composition at IJCV 2020☆63Sep 24, 2022Updated 3 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆149Jan 15, 2019Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Aug 16, 2018Updated 7 years ago
- ☆24Dec 22, 2016Updated 9 years ago
- ☆27May 2, 2018Updated 7 years ago
- This is part of code of a research on speech synthesizing for a low-resourced language: Gan, a Chinese dialect spoken primarily in Jiangx…☆17Sep 5, 2016Updated 9 years ago
- GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆884Feb 7, 2023Updated 3 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Nov 7, 2019Updated 6 years ago
- A2C for GVG-AI☆23Nov 7, 2018Updated 7 years ago
- ☆18Mar 25, 2020Updated 5 years ago
- The collection of jupyter notebooks that were created to compose 3dbabove posts☆44Nov 19, 2017Updated 8 years ago
- Visualizing where the Convolution Network is looking through CAM.☆19Jun 3, 2018Updated 7 years ago
- ☆10Feb 19, 2019Updated 7 years ago