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cdslaborg/paramonte

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305 स्टार्स·36 फोर्क्स·Fortran·6 व्यूज़www.cdslab.org/paramonte↗

Paramonte

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Features

  • General Machine Learning - Library for Bayesian data analysis via Monte Carlo simulations.
  • Data Analysis - Library for Bayesian analysis and Monte Carlo simulations.
  • Data Analysis and Visualization - Bayesian data analysis and MCMC simulation library.
  • Statistical Modeling - Bayesian data analysis via Monte Carlo and MCMC simulations.

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Paramonte के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Paramonte के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • morvanzhou/tutorialsMorvanZhou का अवतार

    MorvanZhou/tutorials

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    This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad

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  • lijin-thu/notes-pythonlijin-THU का अवतार

    lijin-THU/notes-python

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    This project is a collection of educational notes and tutorials focused on Python programming, scientific computing, and data analysis. It serves as a reference for learning language basics, advanced techniques, and object-oriented design. The materials include implementation guides for building linear, logistic, and convolutional neural networks using symbolic graph frameworks. It also provides instruction on manipulating and visualizing structured data frames and performing complex mathematical operations through numerical libraries. The repository includes a system for converting interact

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  • ctgk/prmlctgk का अवतार

    ctgk/PRML

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    PRML is a Python machine learning library and statistical learning toolkit. It provides code implementations of supervised and unsupervised learning concepts, including regression, classification, and neural network algorithms for statistical data modeling. The project functions as a pattern recognition toolkit used to identify theoretical structures within numerical datasets. It includes a neural network framework for solving nonlinear data mappings and a linear algebra toolkit that utilizes vectorized operations and matrix calculations. The library covers a broad range of capabilities, inc

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Paramonte के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

cdslaborg/paramonte क्या करता है?

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

cdslaborg/paramonte की मुख्य विशेषताएं क्या हैं?

cdslaborg/paramonte की मुख्य विशेषताएं हैं: General Machine Learning, Data Analysis, Data Analysis and Visualization, Statistical Modeling।

cdslaborg/paramonte के कुछ ओपन-सोर्स विकल्प क्या हैं?

cdslaborg/paramonte के ओपन-सोर्स विकल्पों में शामिल हैं: morvanzhou/tutorials — This repository is a comprehensive collection of instructional guides and practical examples for Python development,… maxsklar/bayespy — Bayesian Inference Tools in Python. lijin-thu/notes-python — This project is a collection of educational notes and tutorials focused on Python programming, scientific computing,… electricitymaps/electricitymaps-contrib — This project provides a suite of interfaces and tools for accessing electricity carbon intensity and production… ctgk/prml — PRML is a Python machine learning library and statistical learning toolkit. It provides code implementations of… patchy631/machine-learning — This repository serves as an educational collection of interactive notebooks and code examples designed to demonstrate…