repo_description: Implementation of TabTransformer, attention network for tabular data, in Pytorch
repo_topics: artificial-intelligence attention-mechanism deep-learning tabular-data transformer
code: from setuptools import setup, find_packages
  
  setup(
    name = 'tab-transformer-pytorch',
    packages = find_packages(),
    version = '0.6.1',
    license='MIT',
    description = 'Tab Transformer - Pytorch',
    long_description_content_type = 'text/markdown',
    author = 'Phil Wang',
    author_email = '[REDACTED_EMAIL]',
    url = 'https://github.com/lucidrains/tab-transformer-pytorch',
    keywords = [
      'artificial intelligence',
      'transformers',
      'attention mechanism',
      'tabular data'
    ],
    install_requires=[
      'einops>=0.8',
      'discrete-continuous-embed-readout>=0.0.32',
      'hyper-connections>=0.3.12',
      'torch>=2.3',
      'x-mlps-pytorch'
    ],
    classifiers=[
      'Development Status :: 4 - Beta',
      'Intended Audience :: Developers',
      'Topic :: Scientific/Engineering :: Artificial Intelligence',
      'License :: OSI Approved :: MIT License',
      'Programming Language :: Python :: 3.6',
    ],
  )
  