216 Open source projects that are alternatives of or similar to Virtual Adversarial Training

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Keras implementation of temporal ensembling(semi-supervised learning)

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Theano implementation of XNOR-Net

💡 A curated list of adversarial attacks on model explanations

[ICLR'19] Complement Objective Training

Next RecSys Library

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Take further steps in the arms race of adversarial examples with only preprocessing.

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

A Toolbox for Adversarial Robustness Research

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Play deep learning with CIFAR datasets

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Federated Learning Library: https://fedml.ai

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Domain-Adversarial Neural Network in Tensorflow

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Tensorflow ResNet implementation on cifar10

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Must-read Papers on Textual Adversarial Attack and Defense

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Training neural models with structured signals.

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Protein-compound affinity prediction through unified RNN-CNN

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

A curated list of awesome graph representation learning.

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

Label Embedding Network

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

The implementation of Relativistic average GAN with Keras

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Implementation of Ladder Network in PyTorch.

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

A state-of-the-art semi-supervised method for image recognition

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Classification with PyTorch.

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.