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Course content and resources for the AIAIART course.
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Generalized linear models in Julia.
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Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
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Deep Neural Networks for Golang (powered by MXNet).
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An offline recommender system backend based on collaborative filtering written in Go.
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A hands-on course to train and deploy a serverless API that predicts crypto prices.
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Python materials for the online course on diffusion models by @huggingface.
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A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
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Clojure wrapper for deeplearning4j with some added syntactic sugar.
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Run Keras models in the browser, with GPU support provided by WebGL 2.
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Kernel density estimators for Julia.
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A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
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A generic approach that allows to mimic most factorization models by feature engineering.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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Multidimensional cluster generation in MATLAB/Octave.
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It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
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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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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.