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A curated collection of Python tutorials and resources for data science, machine learning, and natural language processing.
A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.
A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
Educational materials for the textbook 'A First Course in Network Science', including Python tutorials, datasets, and Jupyter notebooks.
Tutorial materials for the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning using Theano and Torch.
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