Natural Language Processing
roatienza/Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
Jupyter NotebookMITupdated Nov 2, 2026
Use Transformers and LSTMs to learn Python source code
$ git clone https://github.com/labmlai/python_autocomplete.gitVideos, notes and experiments to understand deep learning
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本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
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Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Data from GitHub · snapshot Nov 13, 2026