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A hands-on course to train and deploy a serverless API that predicts crypto prices.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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Fast, flexible and fun neural networks. This is the successor of PyBrain.
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Decision Tree Classifier and Regressor.
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Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
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High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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Course content and resources for the AIAIART course.
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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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A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
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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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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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Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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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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Code for Data Science at Olin College, Spring 2014.
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Approximate nearest neighbours implementation.
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Assembly Tutorial is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Awesome Courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Curated list of federated learning publications, re-organized from Arxiv (mostly).
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Awesome Music Theory is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Neural networks in JavaScript - continued community fork of Brain.
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Implementation of Random Forest in Common Lisp.