An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.
☆45Aug 4, 2022Updated 4 years ago
Alternatives and similar repositories for mmd_loss_pytorch
Users that are interested in mmd_loss_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:
- Multi-level Consistency Learning for Semi-supervised Domain Adaptation, IJCAI 2022☆14Aug 31, 2022Updated 4 years ago
- code for "Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning"☆15Dec 26, 2023Updated 2 years ago
- The code of MetaViewer: Towards A Unified Multi-View Representation (CVPR 2023).☆10Nov 20, 2023Updated 2 years ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 8 years ago
- [CVPR 2021] FMO Deblurring Benchmark☆15Jan 12, 2022Updated 4 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.
- ☆18Feb 20, 2024Updated 2 years ago
- PsychoPy code for experiment control, and Matlab analysis for the EEG data☆11Jan 13, 2014Updated 12 years ago
- Implementation of a Wasserstein Generative Adversarial Network with Gradient Penalty to enforce lipchitz constraint. The WGAN utilizes th…☆15Aug 30, 2020Updated 6 years ago
- Learning Dynamic Generator Model by Alternating Back-Propagation Through Time☆11Dec 26, 2018Updated 7 years ago
- Implementation of the paper "CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Ima…