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24 search results found

Unsupervised Data Augmentation (UDA)

Mean Teacher ⭐ 1,021

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

Fewshot_gan Unet3d ⭐ 239

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Adversarial Autoencoders ⭐ 227

Tensorflow implementation of Adversarial Autoencoders

Auto_annotate ⭐ 134

Labeling is boring. Use this tool to speed up your next object detection project!

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Semi Supervised Learning Gan ⭐ 52

Semi-supervised Learning GAN

Graph_classification ⭐ 52

Learning from graph data using Keras

Semi Memory ⭐ 46

Code on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory

Temporal Ensembling For Semi Supervised Learning ⭐ 42

Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution

AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

Gumbel Softmax Vae In Tensorflow ⭐ 26

Semi-Supervised Learning with Categorical VAE (experimented on MNIST)

Tensorflow Vae ⭐ 23

TF Implementation of Convolutional Variational Autoencoder.

Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Emotion Recognition Gan ⭐ 14

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Tensorflow_fixmatch ⭐ 12

[Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Spatial Decomposition Network - TensorFlow

Semantic Fusion GAN for semi-supervised image classification

A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

Tensorflow Cvae ⭐ 6

Implementation of the Conditional Variational Auto-Encoder (CVAE) in Tensorflow

Magist Algorithm ⭐ 6

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

Adamatch Tf ⭐ 5

Includes additional materials for the following keras.io blog post.

Adversarial Test Time Training ⭐ 5

Code for the papers: "Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training", Valvano et al., DART 2021; and "Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts", Valvano et al., ArXiv

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