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A general statistics and machine learning library.
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An open-source cross-platform performance library for deep learning applications.
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OneFlow is a performance-centered and open-source deep learning framework.
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An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
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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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Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
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Machine Learning Framework from Industrial Practice.
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Parris, the automated infrastructure setup tool for machine learning algorithms.
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A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
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A complete object-oriented environment for machine learning in Matlab.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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Enables single machine or distributed training and evaluation of deep learning models.
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A JavaScript application framework for machine learning and its engineering.
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Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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A library for machine learning that builds predictions using a linear regression.
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A library for machine learning that builds predictions using a linear regression.
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Another Python Machine Learning Library.
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Algorithmic Trading with Machine Learning.
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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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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
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Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.