Domain Adaptation
Showing 9 of 9 projects
A multi-domain Chinese word segmentation toolkit offering higher accuracy and domain-specific models.
A curated collection of papers, code, and resources for domain adaptation in machine learning.
A comprehensive Python library for solving optimal transport problems with solvers for linear, entropic, Gromov-Wasserstein, and unbalanced OT, plus machine learning applications.
A virtual environment simulator for training embodied AI agents with real-world perception and physics, featuring domain transfer to real robots.
TensorFlow implementation of unsupervised cross-domain image generation for transferring images between domains like SVHN to MNIST.
An open-source benchmark toolkit for Natural Language Generation in spoken dialogue systems, featuring multiple RNN-based models and datasets.
A neural network for real-time 6D object pose tracking in video using RGB-D data, trained only on synthetic images.
A benchmark dataset and meta self-learning method for multi-source domain adaptation in scene text recognition.
A deep bilinear attention network framework with adversarial domain adaptation for interpretable drug-target interaction prediction.
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