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.
PyTorch Alternatives & Competitors
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.
Key TensorFlow features:
Comprehensive Ecosystem Community and Support Flexibility Integrations
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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.
Key Keras features:
User-Friendly Modularity Pre-trained Models Integration with TensorFlow
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Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future!
Key Electe features:
Connect your Data Analyze the Data Generate custom reports
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Key Scikit-learn features:
Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms
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NumPy is the fundamental package for scientific computing with Python.
Key NumPy features:
Performance Versatility Ease of Use Community Support
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OpenCV is the world's biggest computer vision library.
Key OpenCV features:
Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support
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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.
Key Pandas features:
Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size
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Select Target Platform Click on the green buttons that describe your target platform.
Key CUDA Toolkit features:
Performance Support for Parallel Programming Rich Development Ecosystem Comprehensive Libraries
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MLKit is a simple machine learning framework written in Swift.
Key MLKit features:
Feature-Rich Ease of Integration Regular Updates Open-Source
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Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
Key H2O.ai features:
Open Source AutoML Scalability Wide Range of Algorithms
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Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
Key Deeplearning4j features:
Java Integration Scalability Commercial Support Compatibility with Hardware
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The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Key Hugging Face features:
Model Availability Ease of Use Community and Collaboration Documentation and Tutorials
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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.
Key Open Text Magellan features:
Comprehensive Analytics Integration with OpenText Suite Customizable Workflows Scalability
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NLTK is a platform for building Python programs to work with human language data.
Key NLTK features:
Comprehensive Library Educational Resource Pre-trained Models Python Integration
PyTorch discussion

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