TransBoost
by yihengsun
TransBoost algorithm for transfer learning
AI summary
Domain transfer algorithm
An algorithm for improving model performance on target domains by leveraging instances from matured products
- stars
- 34
- forks
- 2
- watching
- 2
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Transfer learner
An implementation of a boosting-based transfer learning algorithm for regression tasks.
Domain transfer GAN
A PyTorch implementation of cycle and semi-supervised GANs for domain transfer between MNIST and SVHN datasets
Makeup transfer algorithm
An implementation of a deep learning-based makeup transfer algorithm that can robustly handle pose and expression variations in images.
Domain adaptation
Improves federated learning performance by incorporating domain knowledge and regularization to adapt models across diverse domains
Domain mapper
Generates images from one domain into another without paired data using a neural network model
Domain adaptation library
A collection of implementations of algorithms to adapt deep learning models from one domain to another
honlan/dmt118
Makeup transfer algorithm
This project enables makeup transfer using a Generative Adversarial Network to disentangle facial identity and makeup features.
Boosting algorithm
An implementation of a multi-class boosting algorithm with improved performance and speed
Model 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.
Domain adaptation algorithm
Develops object detection algorithms to adapt to new domains with limited supervision
Data transfer tool
A tool that enables data transfer between two data platforms
Boosting algorithm
A software package implementing an ensemble boosting method with gradient descent
Style transfer algorithm
An algorithm for transferring styles between images while preserving local details and content
Federated Learning Algorithm
An unsupervised federated learning algorithm that uses cross knowledge distillation to learn meaningful data representations from local and global levels.
Style transfer algorithm
Transfers artistic styles between images using neural networks and matrix operations
Featured in 1 awesome list
Each link jumps to the spot where the list mentions TransBoost.
