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  • gpytorch Public

    Forked from cornellius-gp/gpytorch

    A highly efficient implementation of Gaussian Processes in PyTorch

    Python MIT License Updated Sep 6, 2024
  • This Python implementation of the Marine Predators Algorithm (MPA) is designed to solve both constrained and unconstrained optimization problems. The algorithm is inspired by the strategies of mari…

    Python Updated Aug 13, 2024
  • A simple implement of Bayesian Linear Regression

    Python Updated Apr 5, 2024
  • Updated Jan 28, 2024
  • BearGangLab Public

    Repo of Bear-Gang Lab from Beijing Institute of Technology

    Python MIT License Updated Jan 12, 2024
  • Fast and Easy Infinite Neural Networks in Python

    Jupyter Notebook Apache License 2.0 Updated Dec 11, 2023
  • GO_ML Public

    Updated Oct 4, 2023
  • CFD_Code Public

    Updated Sep 18, 2023
  • This project implements a Bayesian Neural Network (BNN) using PyTorch. A BNN is a type of neural network that treats model weights as probability distributions rather than fixed values. This allows…

    Python 1 Updated Sep 8, 2023
  • A pristine Python library that comprehensively incorporates the Likelihood-Based/Likelihood-Free Metropolis-Hastings Algorithm.

    Jupyter Notebook 1 Updated Aug 19, 2023
  • Updated Mar 30, 2023
  • BOOKS Public

    Updated Mar 14, 2023
  • MAML Public

    Updated Mar 13, 2023
  • Jupyter Notebook Updated Feb 4, 2023
  • MFMM Public

    Jupyter Notebook Updated Jan 26, 2023
  • nngp Public

    Forked from brain-research/nngp

    Deep neural network kernel for Gaussian process

    Python Apache License 2.0 Updated Sep 8, 2020
  • pyGPs Public

    Forked from marionmari/pyGPs

    pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.

    Python Other Updated Feb 4, 2019