Gaussian processes in TensorFlow
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Updated
Aug 7, 2017 - Python
Gaussian processes in TensorFlow
An efficient C/C++ implementation for solving N equations with N unknowns with the help of Gaussian elimination.
Finding the best solution for geometry of electrical devices based on defined target for frequency responses
Gaussian Process implemented in C#
NTU-IM 5044
Code and associated data relating to Kowalski, MacGregor, Long, Bell, and Cronin, "Automated Library Generation and Serendipity Quantification enables Diverse Discovery in Coordination Chemistry", JACS, 2022
A Pure Python implementation of Bayesian global optimization, leveraging the robustness of Gaussian processes.
Image Processing and Video Analysing using OpenCV
Implementation of Guassion Process (GP) for regreesion with the exponential-quadratic kernel function.
Figures in PRML by Bishop recreated using PyTorch
This repository contains the codes of mathematical and statistical methods like Interpolation, Guass Jacobi, Guass Jordan, etc. that I coded in C as a part of course MA403 Probability, Statistics, and Numerical Analysis.
Jupyter Notebooks Tutorials on Gaussian Processes
Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
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