repo_description: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
repo_topics: book computer-vision data-science deep-learning gaussian-processes hyperparameter-optimization jax kaggle keras machine-learning mxnet natural-language-processing notebook python pytorch recommender-system reinforcement-learning tensorflow
code: from setuptools import setup, find_packages
  import d2l
  
  requirements = [
      'jupyter==1.0.0',
      'numpy==1.23.5',
      'matplotlib==3.7.2',
      'matplotlib-inline==0.1.6',
      'requests==2.31.0',
      'pandas==2.0.3',
      'scipy==1.10.1'
  ]
  
  setup(
      name='d2l',
      version=d2l.__version__,
      python_requires='>=3.8',
      author='D2L Developers',
      author_email='[REDACTED_EMAIL]',
      url='https://d2l.ai',
      description='Dive into Deep Learning',
      license='MIT-0',
      packages=find_packages(),
      zip_safe=True,
      install_requires=requirements,
  )
  