sebastianruder/learn-to-select-data
Code for Learning to select data for transfer learning with Bayesian Optimization
Code for Sluice networks: Learning what to share between loosely related tasks
$ git clone https://github.com/sebastianruder/sluice-networks.gitCode for Learning to select data for transfer learning with Bayesian Optimization
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
An easy to use open-source library for advanced Deep Learning and Natural Language Processing
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
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💫 Industrial-strength Natural Language Processing (NLP) in Python
Data from GitHub · snapshot Nov 13, 2026