Gaussian processes in TensorFlow
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Updated
Aug 7, 2017 - Python
Gaussian processes in TensorFlow
Figures in PRML by Bishop recreated using PyTorch
Gaussian Process implemented in C#
Image Processing and Video Analysing using OpenCV
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
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.
Implementation of Guassion Process (GP) for regreesion with the exponential-quadratic kernel function.
NTU-IM 5044
Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.
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
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
Finding the best solution for geometry of electrical devices based on defined target for frequency responses
An efficient C/C++ implementation for solving N equations with N unknowns with the help of Gaussian elimination.
A Pure Python implementation of Bayesian global optimization, leveraging the robustness of Gaussian processes.
Jupyter Notebooks Tutorials on Gaussian Processes
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