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An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
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Machine learning and numerical analysis tools for Node.js and the Browser!
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500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
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Friendly machine learning for the web!
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A set of functions to support the development of machine learning algorithms.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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A Julia machine learning framework.
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A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
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A library consisting of useful tools for data science and machine learning tasks.
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Multidimensional cluster generation in MATLAB/Octave.
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A modular active learning framework for Python, built on top of scikit-learn.
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ModelFox is a platform for managing and deploying machine learning models.
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List of molecular design using Generative AI and Deep Learning.
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Methods for dimensionality reduction.
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A library of shared system prompts for creating customized educational GPT agents.
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IPython notebooks for a complete course around understanding Nervana's Neon.
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Model viewer for inspecting neural network architecture files from many machine learning frameworks.
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Machine learning for NeuroImaging in Python.
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An open source AutoML toolkit for automate machine learning lifecycle.
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Support Vector Machine for Node.js.
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Reference implementations of ML models written in numpy.
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Numenta Platform for Intelligent Computing.
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A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.