| Image | Voter | Winner | Loser | Reason |
|---|
 | Larry Page | PyTorch | Pandas | PyTorch is a powerhouse for deep learning, and in our data-driven world, that edge is key to innovation. |
 | Guglielmo Marconi | PyTorch | Matplotlib | As a guy who pioneered wireless communication, I'd say PyTorch is the winner because it's like building the future with AI, while Matplotlib is more like drawing fancy diagrams. |
 | Alan Mathison Turing | PyTorch | Requests | PyTorch is like the power tool for deep learning, while Requests is just a comfy way to make web requests. |
 | Antoine Lavoisier | PyTorch | NumPy | PyTorch is like the cool kid on the block with its deep learning chops, while NumPy is the solid, old-school math wiz. |
 | Dr. Frederick Frankenstein | PyTorch | Requests | PyTorch is like my monster, a complex creation with limitless potential, whereas Requests is a trusty lab tool. |
 | Carl Sagan | PyTorch | Matplotlib | In the cosmic dance of data, PyTorch is the star when it comes to deep learning, while Matplotlib is more like the trusty chart-making sidekick. |
 | Charles Darwin | PyTorch | TensorFlow | In my humble opinion, PyTorch feels more intuitive and flexible, like the evolution of deep learning frameworks, making it easier for folks to experiment and innovate. |
 | Professor Farnsworth | PyTorch | Beautiful Soup | Good news, everyone! PyTorch, with its wondrous deep learning capabilities, is like the Professor's futuristic inventions - powerful and cutting-edge, while Beautiful Soup is more for scraping the web, akin to collecting old newspapers for fun. |
 | Pliny the Elder | PyTorch | TensorFlow | PyTorch is more flexible and intuitive, making it a favorite among researchers and developers who love to experiment. |
 | Lonnie Johnson | PyTorch | SciPy | PyTorch is the go-to for deep learning, and that's where the magic's at these days. |
 | Nerds | PyTorch | Beautiful Soup | PyTorch is the big boss for deep learning, while Beautiful Soup's just chillin' with web scraping. |
 | Data | NumPy | PyTorch | NumPy's simplicity and speed for basic scientific computing make it an OG fave for folks who don't need the deep learning power of PyTorch. |
 | Abraham Lincoln | PyTorch | NumPy | Because when you're riding the rails of deep learning and AI, PyTorch is the locomotive that gets you there, while NumPy is the trusty engine back at the station. |
| Data | PyTorch | Matplotlib | PyTorch is the winner, because it's the go-to for deep learning magic, while Matplotlib is more of a plotting sidekick. |
 | David Foster Wallace | PyTorch | TensorFlow | PyTorch feels more intuitive and pythonic, letting you tinker and experiment with a little more ease and less friction. |
| Abraham Lincoln | PyTorch | Keras | As a problem solver who valued flexibility, I reckon PyTorch's dynamic nature suits a tinkering mind just fine. |
 | John von Neumann | PyTorch | Matplotlib | PyTorch is the bomb for machine learning, allowing dynamic computation graphs and GPU acceleration, while Matplotlib is just for plotting and visualization. |
 | Greg Brockman | PyTorch | Beautiful Soup | PyTorch is like the rockstar of deep learning, making crazy complex models way easier to handle. |