pytorch-adda and pytorch-adapt
About pytorch-adda
corenel/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
This project helps machine learning engineers or researchers adapt a trained model from one dataset to a similar but different dataset without extensive retraining. It takes an image classification model trained on a 'source' set of images (like MNIST handwritten digits) and adapts it to perform well on a 'target' set (like USPS handwritten digits), even if the target data looks slightly different. This is useful for researchers and ML engineers working with computer vision tasks.
About pytorch-adapt
KevinMusgrave/pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable.
This tool helps machine learning engineers and researchers adapt existing models to perform well on new, related datasets without needing to retrain from scratch. You provide your pre-trained model and data from a new 'target' domain, and it outputs an adapted model ready for use. It's designed for practitioners who work with machine learning models and need to deploy them in varied environments or with evolving data.
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