ChengjinLi/machine_learning
机器学习、深度学习、NLP实战项目
Implements end-to-end examples across computer vision (image classification, generation) and NLP tasks (NER, text classification, matching, similarity) using both classical ML and deep learning approaches. Architecture spans traditional scikit-learn methods alongside TensorFlow neural networks including TextCNN and TextRNN for sequence modeling. Includes foundational utilities like Word2Vec embeddings and structured tutorials for NumPy and TensorFlow fundamentals.
152 stars. No commits in the last 6 months.
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152
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36
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Python
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Last pushed
Feb 26, 2018
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