Keras البدائل & المنافسين
Keras documentation
البدائل والمنافسين ل keras.io من حيث المحتوى وحركة المرور والهيكل
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Making developers awesome at machine learning.
Helping developers, students, and researchers master Computer Vision, Deep Learning, and OpenCV.
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
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Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
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Learn Computer Vision, Deep Learning with OpenCV, PyTorch, Keras, & Tensorflow: Code + Tutorials
OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).
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Keunwoo Choi.
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Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
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Welcome to OpenCV-Python Tutorials’s documentation! — OpenCV-Python Tutorials beta documentation.
Scikit-image: Image processing in Python — scikit-image.
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Promoting openness in scientific communication and the peer-review process
ACL Anthology - ACL Anthology.
Deep learning, Generative Adversarial Networks, and scribbles.
Machine Learning Explained, Machine Learning Tutorials
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Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
NeurIPS 2024.
Adventures in Machine Learning – Get ready for your machine learning adventures.
The Computer Vision Foundation – A non-profit organization that fosters and supports research in all aspects of computer vision.
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Matplotlib — Visualization with Python.
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Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
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The official home of the Python Programming Language