PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].
☆20Sep 21, 2020Updated 5 years ago
Alternatives and similar repositories for gan-manifold-regularization-PyTorch
Users that are interested in gan-manifold-regularization-PyTorch 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 9 years ago
- Codebase for P2E-WGAN: ECG Waveform Synthesis from PPG with Conditional Wasserstein Generative Adversarial Networks - ACM SAC 2021☆33May 1, 2021Updated 5 years ago
- TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.☆18May 14, 2017Updated 9 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Apr 2, 2018Updated 8 years ago
- The code for our AAAI 22 paper "Semi-Supervised Learning with Multi-Head Co-Training" and journal submission.☆12May 14, 2023Updated 3 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.
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Feb 8, 2021Updated 5 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- ECGNet, leveraging PyTorch, classifies ECG signals with 96% accuracy, using a streamlined model of around 1300 parameters, trained on Ka…☆15Feb 22, 2024Updated 2 years ago
- Codebase for exploring functional and structural network connectivity within the medial temporal lobe (MTL) using 7T MRI data☆11Dec 14, 2017Updated 8 years ago
- ☆11Sep 23, 2020Updated 5 years ago
- ☆15Jul 9, 2025Updated 11 months ago
- ☆12Dec 20, 2019Updated 6 years ago
- ☆12Jun 1, 2018Updated 8 years ago
- ☆13Mar 3, 2017Updated 9 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.
- CEVAE with VampPrior☆11Jul 18, 2018Updated 7 years ago
- ☆12Oct 25, 2018Updated 7 years ago
- Transfer Learning and Optimal Transport. A demonstration of Subspace Alignment algorithm and Entropy Regularized Optimal Transport (Sinkh…☆12Mar 28, 2020Updated 6 years ago
- Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks☆13Feb 24, 2021Updated 5 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)☆10Oct 2, 2020Updated 5 years ago
- The codes of paper: "Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN". This demo takes the published fMRI data…☆13Dec 12, 2020Updated 5 years ago
- Implement mean shift cluster from numpy + sklearn + GPU-pytorch☆10Apr 7, 2026Updated 2 months ago
- A PyTorch implementation of the Deep Dictionary model☆14Nov 11, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch Implementation of Semantic Image Inpainting with Deep Generative Models☆12May 5, 2019Updated 7 years ago
- A pytorch implementation of mpvae.☆13Sep 14, 2020Updated 5 years ago
- The code for “Multiscale Object Contrastive Learning–Derived Few-Shot Object Detection in VHR imagery”☆15Jun 12, 2023Updated 3 years ago
- This repository contains dictionary learning algorithms☆20Apr 14, 2019Updated 7 years ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆49Jun 15, 2024Updated 2 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Jun 19, 2019Updated 6 years ago
- ☆41Aug 15, 2018Updated 7 years ago
- Deep Clustering and Block Hashing Network for Face Image Retrieval - ACCV 2018☆13Nov 5, 2021Updated 4 years ago
- Simple correct&smooth implementation in PyTorch.☆13Nov 8, 2022Updated 3 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.
- An unofficial PyTorch implementation for CVPR 2019 work "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation"☆43Aug 10, 2019Updated 6 years ago
- This demo reproduces the results reported in the paper "Nonlinear unmixing of hyperspectral data with vector-valued kernel functions," R…☆14Nov 14, 2016Updated 9 years ago
- Implement layer normalization GRU in pytorch☆35Apr 8, 2026Updated 2 months ago
- Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆22Apr 13, 2020Updated 6 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆18May 27, 2019Updated 7 years ago
- ☆11Jun 24, 2015Updated 10 years ago
- some code and papers related to dynamic graph neural networks☆10Jul 12, 2020Updated 5 years ago