PyTorch
Open source deep learning platform that provides a seamless path from research prototyping to...
Some of the top features or benefits of PyTorch are: Dynamic Computation Graph, Pythonic Nature, Strong Community Support, Flexibility and Control, Support for GPU Acceleration, and Rich Ecosystem. You can visit the info page to learn more.
- Open Source
Best PyTorch Alternatives & Competitors in 2024
The best PyTorch alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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Create ai humanized SEO content tailored for ecommerce and small businesses with HappySEO tools. From ai writer to keyword research and analyze tools.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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NumPy is the fundamental package for scientific computing with Python
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OpenCV is the world's biggest computer vision library
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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MLKit is a simple machine learning framework written in Swift.
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Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
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No-code artificial intelligence for all
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The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
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OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.
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NLTK is a platform for building Python programs to work with human language data.
PyTorch discussion

PyTorch is just the best developer experience for developing AI stacks.