Pytorch implementation of Virtual Adversarial Training
☆134May 21, 2019Updated 7 years ago
Alternatives and similar repositories for virtual-adversarial-training
Users that are interested in virtual-adversarial-training are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Virtual Adversarial Training (VAT) implementation for PyTorch☆295Dec 19, 2018Updated 7 years ago
- Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976☆25Feb 25, 2019Updated 7 years ago
- Virtual adversarial training with Tensorflow☆254Jul 2, 2018Updated 8 years ago
- PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning☆112Nov 15, 2018Updated 7 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26May 6, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A state-of-the-art semi-supervised method for image recognition☆1,682Oct 8, 2020Updated 6 years ago
- Code for our AAAI2021 paper: Token-Aware Virtual Adversarial Training For Language Understanding.☆25Dec 3, 2020Updated 5 years ago
- This repository is the replication package of the NeurIPS19 paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"☆12Oct 27, 2019Updated 7 years ago
- Temporal ensembling for semi-supervised learning☆161Jan 3, 2017Updated 9 years ago
- Implementation of Virtual adversarial training with chainer☆40Nov 9, 2017Updated 8 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆651Nov 2, 2023Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Jun 22, 2022Updated 4 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Jul 14, 2019Updated 7 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Nov 12, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆151Oct 16, 2022Updated 4 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆181Nov 2, 2017Updated 8 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆80Aug 20, 2020Updated 6 years ago
- Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch☆83Sep 27, 2018Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆109Jun 25, 2017Updated 9 years ago
- Pytorch implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB datase…☆44Mar 31, 2019Updated 7 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆49Feb 8, 2021Updated 5 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆340Oct 30, 2018Updated 8 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆148Oct 19, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Adversarial Distributional Training (NeurIPS 2020)☆62Mar 17, 2021Updated 5 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Apr 1, 2020Updated 6 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Jun 30, 2020Updated 6 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆190Feb 3, 2019Updated 7 years ago
- Code release for "A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adapt…☆13Mar 15, 2024Updated 2 years ago
- ☆14Oct 14, 2020Updated 6 years ago
- ☆1,136Mar 24, 2023Updated 3 years ago
- This repository is the implementation of our paper: Local Correntropy Matrix Representation for Hyperspectral Image Classification, which…☆10Apr 21, 2022Updated 4 years ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆79May 14, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Feb 13, 2022Updated 4 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆45Sep 5, 2017Updated 9 years ago
- ☆18Oct 29, 2021Updated 5 years ago
- 90%+ with 40 labels. please see the readme for details.☆36Aug 18, 2020Updated 6 years ago
- Using AutoDIAL framework for training US-CT end to end network working on real US images☆10Nov 30, 2017Updated 8 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆56Nov 3, 2019Updated 6 years ago