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xueyuh's Projects

awesome-matlab icon awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

commsurvey icon commsurvey

This is the repository for the collection of surveys and reviews in communication and networking domains.

efficient-gp-regression-via-kalman-filtering icon efficient-gp-regression-via-kalman-filtering

Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part

gaussian-process-sparsegp-tutorial icon gaussian-process-sparsegp-tutorial

A tutorial-style introduction to Sparse Variational Gaussian Process regression. It comes with some example code, written in Python, that is free and should be relatively easy to use. The code is by no-means optimised, rather, it is supposed to be easy to read and easy to understand for someone who is new to Sparse GPs.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gpflow icon gpflow

Gaussian processes in TensorFlow

gprt icon gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

gpy icon gpy

Gaussian processes framework in python

mimo_ofdm icon mimo_ofdm

《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

neural-process-family icon neural-process-family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

neural-processes icon neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

neural-processes-1 icon neural-processes-1

Pytorch implementation of Neural Processes for functions and images :fireworks:

sonig icon sonig

Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.

top-ai-conferences-paper-with-code icon top-ai-conferences-paper-with-code

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

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