Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)
☆26Apr 14, 2019Updated 6 years ago
Alternatives and similar repositories for DeepDomainAdaptation
Users that are interested in DeepDomainAdaptation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 6 years ago
- Demo Code for paper 'When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs…☆14Mar 19, 2018Updated 8 years ago
- Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets. I implemented this repo for a technical interview f…☆19Mar 4, 2019Updated 7 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Jun 16, 2020Updated 5 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆15Apr 12, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆22Jan 23, 2019Updated 7 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58May 31, 2018Updated 7 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Oct 10, 2019Updated 6 years ago
- Tensorflow 2.0 implementation of Domain Adversarial Neural Networks (DANN)☆12Dec 3, 2019Updated 6 years ago
- Open-set Recognition with Adversarial Autoencoders☆39Jan 5, 2019Updated 7 years ago
- ☆17May 21, 2025Updated 10 months ago
- Visualisation & processing of MEG data and networks on meshes. A bunch of functions, examples and a gui.☆11Oct 11, 2019Updated 6 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆95Sep 29, 2021Updated 4 years ago
- Code for the paper 'Working Women and Caste in India' (ICLR 2019 AI for Social Good Workshop)☆16Jun 17, 2024Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆12Jul 19, 2019Updated 6 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆59Oct 12, 2018Updated 7 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Domain Adaptation Representation Learning Algorithm (as published in JMLR 2016)☆141Nov 10, 2017Updated 8 years ago
- ☆34Jun 26, 2021Updated 4 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆162Dec 1, 2018Updated 7 years ago
- Pytorch implementation of Virtual Adversarial Training☆134May 21, 2019Updated 6 years ago
- Keras implementation of Domain-Adversarial Training of Neural Networks (DANN)☆12Jan 20, 2023Updated 3 years ago
- BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.☆31Dec 29, 2019Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Easy21 assignment from David Silver's RL Course at UCL☆11Apr 29, 2018Updated 7 years ago
- In-browser GPU-accelerated Generative Adversarial Network trained on Fashion-MNIST dataset (tensorflow + deeplearn.js)☆11Aug 28, 2018Updated 7 years ago
- Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification☆37Aug 23, 2018Updated 7 years ago
- TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition☆13Sep 24, 2018Updated 7 years ago
- implement Domain-Adversarial Training of Neural Networks☆59Jul 3, 2018Updated 7 years ago
- Wasserstein Based Domain Adaptation Model☆46Jan 2, 2019Updated 7 years ago
- Code for 'Open Set Domain Adaptation by Backpropagation'☆78Nov 12, 2018Updated 7 years ago
- ☆34Apr 7, 2018Updated 8 years ago
- ☆13Nov 8, 2022Updated 3 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 new model for quickly training and simulating adaptive leaky integrate-and-fire spiking neural networks.☆14Apr 9, 2024Updated 2 years ago
- Tensorflow Implementation of open set domain adaptation by backpropagation☆31Mar 3, 2019Updated 7 years ago
- package the TradaBoost with different sklearn learner, better performance on LightGBM☆10Jan 23, 2019Updated 7 years ago
- Examples of Generative Adversarial Networks built using torchgan☆12Jun 11, 2019Updated 6 years ago
- Code of Face-MagNet that was published in WACV18☆30Jul 18, 2018Updated 7 years ago
- Train, Test and Dev Splits for our AAAI'18 Paper☆16Feb 17, 2018Updated 8 years ago
- solutions to David Silver's RL course project Easy21☆19Jun 28, 2016Updated 9 years ago