TransBoost
Domain transfer algorithm
An algorithm for improving model performance on target domains by leveraging instances from matured products
TransBoost algorithm for transfer learning
34 stars
2 watching
2 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
jay15summer/two-stage-tradaboost.r2 | An implementation of a boosting-based transfer learning algorithm for regression tasks. | 44 |
yunjey/mnist-svhn-transfer | A PyTorch implementation of cycle and semi-supervised GANs for domain transfer between MNIST and SVHN datasets | 432 |
wtjiang98/psgan | An implementation of a deep learning-based makeup transfer algorithm that can robustly handle pose and expression variations in images. | 727 |
wenkehuang/rethinkfl | Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains | 91 |
yunjey/domain-transfer-network | Generates images from one domain into another without paired data using a neural network model | 862 |
easezyc/deep-transfer-learning | A collection of implementations of algorithms to adapt deep learning models from one domain to another | 892 |
honlan/dmt | This project enables makeup transfer using a Generative Adversarial Network to disentangle facial identity and makeup features. | 118 |
pengsun/aosologitboost | An implementation of a multi-class boosting algorithm with improved performance and speed | 7 |
yunyuntsai/black-box-adversarial-reprogramming | An approach to adapt machine learning models using scarce data and limited resources by modifying their internal workings without changing the model's original architecture or training data. | 37 |
naoto0804/cross-domain-detection | Develops object detection algorithms to adapt to new domains with limited supervision | 422 |
xiangxud/transfer | A tool that enables data transfer between two data platforms | 4 |
arogozhnikov/infiniteboost | A software package implementing an ensemble boosting method with gradient descent | 184 |
jamriska/styleblit | An algorithm for transferring styles between images while preserving local details and content | 173 |
sungwon-han/fedx | An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels. | 68 |
fzliu/style-transfer | Transfers artistic styles between images using neural networks and matrix operations | 1,538 |