Collection: ML/DL frameworks
What are ML/DL frameworks?
ML (Machine Learning) and DL (Deep Learning) frameworks are software libraries or platforms that help developers build, train, and deploy AI models more easily.
They automatically handle complex mathematical processes, data processing, and model management – so teams can focus on ideas, research, and application 🌍.
🧰 Typical uses
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🖼️ Image recognition & object recognition – such as facial recognition, medical image analysis
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📚 Speech and text processing – translation, chatbots, sentiment analysis
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📈 Predictive models – forecasts in finance, energy, logistics
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🧪 Research & Prototyping – Development of new algorithms or models
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🌐 Production deployments – integration of trained models into real applications
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MindSpore – Intelligent Deep Learning Framework for Cloud, Edge, and Devices 🪴
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ONNX – Format for AI models for interoperability between frameworks 🪴🛠️
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PyTorch – Flexible Deep Learning Framework for Research 🪴
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Scikit-learn – The proven machine learning library for Python 🧠
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Keras – Intuitive Deep Learning Library for Developers and Research 🌎
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TensorFlow – Open-Source Machine Learning Platform for Developers 🪴
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