Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras
☆37Nov 22, 2018Updated 7 years ago
Alternatives and similar repositories for Pseudo-Label-Keras
Users that are interested in Pseudo-Label-Keras are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Apr 12, 2021Updated 5 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆29Jan 20, 2018Updated 8 years ago
- ☆24Feb 21, 2019Updated 7 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆99Apr 30, 2021Updated 5 years ago
- This is an Tensorflow implementation of semi-supervised learning with the following methods: Pseudo-label, Pi_model, VAT, mean_teacher, M…☆12Jul 23, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Comparing active learning, semi-supervised learning and combination of them on deep learning.☆14Nov 19, 2017Updated 8 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆34Mar 7, 2018Updated 8 years ago
- Deep Bayesian Active Semi-Supervised Learning☆11Mar 1, 2018Updated 8 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆341Oct 30, 2018Updated 7 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆48Feb 18, 2019Updated 7 years ago
- Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)☆39Jul 22, 2019Updated 6 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Sep 4, 2020Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Feb 11, 2021Updated 5 years ago
- 3.47% on CIFAR-10☆14Dec 19, 2018Updated 7 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.
- [Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence☆15Jun 29, 2020Updated 6 years ago
- ☆13Aug 28, 2025Updated 10 months ago
- ☆25Aug 11, 2022Updated 3 years ago
- Implement Conditional VAE and train on MNIST by tensorflow 1.3.0.☆10Nov 7, 2017Updated 8 years ago
- Pytorch Code for Semi-supervised Learning on MNIST Data Set☆12Mar 11, 2017Updated 9 years ago
- Re-implementation for paper 'Semi-supervised learning with deep generative models' using lasagne. There is no guarantee for bug free.☆14Jul 3, 2021Updated 4 years ago
- Implemenation of Asymmetric-TriTraining by Tensorflow☆26Apr 24, 2018Updated 8 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Jan 15, 2020Updated 6 years ago
- Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017☆10Dec 15, 2017Updated 8 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.
- This repository contains the PowerFactory models of the Grid-Forming and Grid-following model, as well as a 4-bus benchmark system.☆18Mar 18, 2022Updated 4 years ago
- 针对一维时间序列数据,采用GMM和K-Means算法进行异常点检测。For one-dimensional time series data, GMM and K-means algorithm are used to detect outliers.☆11Jan 16, 2021Updated 5 years ago
- Simple Tensorflow implementation of Squeeze Excitation Networks (ResNeXt, Inception-v4, Inception-resnet-v2). Include focal loss, center …☆10Nov 29, 2017Updated 8 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Dec 27, 2022Updated 3 years ago
- 天池比赛:津南数字制造算法挑战赛【赛场一】初赛 17 名 Drop 队代码☆27Mar 23, 2019Updated 7 years ago
- Deep Learning Studio is a GUI based deep learning platform for designing, training and evaluating artificial neural networks without prog…☆32May 3, 2022Updated 4 years ago
- ☆25Jan 22, 2020Updated 6 years ago
- Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset☆19Jan 10, 2023Updated 3 years ago
- Code for Tajima et al. (2019). Optimal policy for multi-alternative decisions. Nature Neuroscience.☆10Aug 23, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The code for NISTA_Net☆11Apr 7, 2023Updated 3 years ago
- ☆10Jun 29, 2021Updated 5 years ago
- Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.☆15Oct 19, 2020Updated 5 years ago
- 2D Deformable Convolution Network, Training and Testing on Cell Images☆12Jan 26, 2018Updated 8 years ago
- [PyTorch] ClipCap for Japanese (日本語で学習・推論)☆13Oct 4, 2022Updated 3 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆119Apr 25, 2017Updated 9 years ago
- practice on CIFAR10 with Keras☆43Aug 30, 2018Updated 7 years ago