Keras Альтернативы & Конкуренты
Keras documentation
Альтернативы и конкуренты keras.io по содержанию, трафику и структуре
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.
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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.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
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).
Blog | DLology.
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Faroit.
Keunwoo Choi.
Fast.ai – fast.ai—Making neural nets uncool again.
Papers With Code highlights trending Machine Learning research and the code to implement it.
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
PyData |.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
Welcome to OpenCV-Python Tutorials’s documentation! — OpenCV-Python Tutorials beta documentation.
Scikit-image: Image processing in Python — scikit-image.
Lots of programming, IoT and technology tutorials
TheAILearner | Mastering Artificial Intelligence.
Program Creek – More Pictures, Less Words.
Swan Intelligence.
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Site not found · GitHub Pages.
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.
Accelerate AI training, power complex simulations, and render faster with NVIDIA H100 GPUs on Paperspace. Easy setup, cost-effective cloud compute.
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Matplotlib — Visualization with Python.
Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.
Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
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Learn to code in Python, C/C++, Java, and other popular programming languages with our easy to follow tutorials, examples, online compiler and references.
The official home of the Python Programming Language