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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.
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Examples and guides for using the OpenAI API.
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A Python-inspired implementation of the Optimum-Path Forest classifier.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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Multidimensional cluster generation in Python.
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Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
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Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
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Tutorial on Python time-series model deployment.
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SciPy tutorials. This is outdated, check out scipy-lecture-notes.
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Videos is a GitHub repository or organization with source code, releases, documentation, or project resources.
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1 Pixel Wealth is a GitHub repository or organization with source code, releases, documentation, or project resources.