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Products that do what Adaptive-classifier – text classification with continuous learning does

Hi HN! I've built a Python library that lets you create text classifiers that can continuously learn and adapt to new classes without retraining from scratch. What makes this different from typical text classifiers: - Dynamically add new classes at any time without full retraining - Combines neural networks with prototype learning for better few-shot performance - Uses Elastic Weight Consolidation to prevent catastrophic forgetting - Works with any HuggingFace transformer base model - Memory-efficient through prototype-based storage You can try it out in under a minute: pip install…

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    I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.

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