Showing 81-95 of 95 projects
Seamless integration of Scikit-learn with Intellex for AI inference and machine learning applications
Small-scale machine learning projects to help developers understand core ML concepts in Python.
A Python library that transpiles trained scikit-learn models to C, Java, JavaScript and other languages.
Python library for clustering categorical data using k-modes and k-prototypes algorithms.
Survival analysis library for Python, built on top of scikit-learn, for developers working with machine learning.
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
A portfolio of data science projects covering machine learning, NLP, and more for personal and academic use.
A Python library for building deep neural networks with scikit-learn-compatible classifiers and regressors.
A Python library that integrates Scikit-learn into the Apache Spark distributed computing framework.
ONNXMLTools enables conversion of machine learning models to the ONNX format, supporting Keras, Scikit-learn, and other frameworks.
Samples for Intel's oneAPI Toolkits, supporting a wide range of AI, HPC, and parallel computing use cases.
A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.
Deprecated Scikit-learn integration package for Apache Spark, useful for machine learning on big data.
Compilation of R and Python programming codes for data science and machine learning projects.
Comprehensive set of notes and exercise solutions for learning Scikit-Learn, Keras, and TensorFlow for machine learning and deep learning.
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