The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples"
☆18Apr 2, 2018Updated 8 years ago
Alternatives and similar repositories for Semi-Supervised-Image-Classification
Users that are interested in Semi-Supervised-Image-Classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Manifold Regularized Deep Neural Networks written in Python using numpy and gnumpy to run on GPUs.☆15May 14, 2017Updated 8 years ago
- ☆11Feb 18, 2020Updated 6 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Sep 21, 2020Updated 5 years ago
- A collection of resources for graph-based semi-supervised learning (GSSL).☆20Aug 30, 2021Updated 4 years ago
- Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"☆15May 21, 2019Updated 6 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.
- Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…☆11Mar 11, 2020Updated 6 years ago
- Semi-supervised strategies based on Deep Learning to extract structure from images and improve supervised classification tasks.☆10Jul 3, 2020Updated 5 years ago
- ☆11Oct 25, 2022Updated 3 years ago
- Adaptive Soft Sensors☆19Jul 15, 2019Updated 6 years ago
- For all the researchers who after waiting for a long time, they get their research papers rejected by big international conferences. This…☆10Dec 6, 2020Updated 5 years ago
- re-implementation of ConvMF (RecSys'16) in TensorFlow with even better performance☆10Aug 28, 2020Updated 5 years ago
- ☆12Dec 16, 2020Updated 5 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98May 6, 2019Updated 6 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆22May 11, 2016Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Source code for our Paper "Self-Attentive Neural Collaborative Filtering"☆17Jul 6, 2018Updated 7 years ago
- TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.☆18May 14, 2017Updated 8 years ago
- The implementation of "Semantic-consistent Embedding".☆19Dec 22, 2021Updated 4 years ago
- Soft sensor modelling using multiple machine learning algorithms☆24Jul 1, 2019Updated 6 years ago
- the loader for common open source mechanical fault diagnosis datasets (CWRU, MFPT, SouthEast Uni., Paderborn Uni.)☆15May 26, 2020Updated 5 years ago
- ☆10Oct 11, 2022Updated 3 years ago
- ☆16Dec 23, 2021Updated 4 years ago
- Implementation of "Use of Deep Learning for Characterization of Microfluidic Soft Sensors" (RA-L and ICRA'2018)☆10Sep 24, 2019Updated 6 years ago
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆18Jul 5, 2021Updated 4 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.
- Using Quantum Machine Learning for effective dynamic pricing models☆12Oct 27, 2022Updated 3 years ago
- An open-world scenario domain generalization code base☆27Feb 22, 2023Updated 3 years ago
- This project implenments the OSPF using Dijkstra algorithm (Open Shortest Path First) network protocol in python. Link-State Routing pr…☆12Sep 1, 2017Updated 8 years ago
- ResNet-34 implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles" in Keras☆18Mar 8, 2018Updated 8 years ago
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization☆13Jun 20, 2018Updated 7 years ago
- Exploration of using semi-supervised pre-training to improve convolutional neural network image segmentation performance on satellite ima…☆11Nov 30, 2019Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆10Mar 17, 2018Updated 8 years ago
- Python implementation of the random-walk inductive classification algorithm Modified Adsorption from P. Talukdar☆15Jul 30, 2014Updated 11 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.
- A pytorch implementation of mpvae.☆13Sep 14, 2020Updated 5 years ago
- This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniqu…☆14May 28, 2016Updated 9 years ago
- Pytorch Code for Semi-supervised Learning on MNIST Data Set☆12Mar 11, 2017Updated 9 years ago
- Train I3D on NTU-RGB+D dataset in keras☆11Feb 5, 2019Updated 7 years ago
- ☆11Feb 1, 2024Updated 2 years ago
- This repository is the implementation of our paper: Local Correntropy Matrix Representation for Hyperspectral Image Classification, which…☆10Apr 21, 2022Updated 3 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 3 years ago