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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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Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
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JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
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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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Supports teaching, studying or skills practice with AI-guided learning tools.
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Math and Science Lectures is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Mathematics Roadmap is a GitHub repository or organization with source code, releases, documentation, or project resources.
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A Python module for metric learning.
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Metric Learning Algorithms in Python.
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Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
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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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A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
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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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Supports teaching, studying or skills practice with AI-guided learning tools.