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Series of notebooks for learning scikit-learn.
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Tutorial on Python time-series model deployment.
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A temporal extension of PyTorch Geometric for dynamic graph representation learning.
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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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Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
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Multidimensional cluster generation in Python.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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Reinforcement learning using Markov Decision Processes.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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A Python-inspired implementation of the Optimum-Path Forest classifier.
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Examples and guides for using the OpenAI API.
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A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.
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Numenta Platform for Intelligent Computing.
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Reference implementations of ML models written in numpy.
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Support Vector Machine for Node.js.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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IPython notebooks for a complete course around understanding Nervana's Neon.
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A library of shared system prompts for creating customized educational GPT agents.