Xudong Wang's starred repositories

PRML

PRML algorithms implemented in Python

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prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

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Gaussian-Process-Regression-Tutorial

An Intuitive Tutorial to Gaussian Processes Regression

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Spatio-Temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

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LonGP

Gaussian process regression + automatical model selection for logitudinal -omics data

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Data-Science-Books

Complete end to end Datascience Books for various Application

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MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

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BDA_course_Aalto

Bayesian Data Analysis course at Aalto

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Python4DS

Jupyter Notebooks used on my DataScience projects

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infer

Infer.NET is a framework for running Bayesian inference in graphical models

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TensorFlow_Exercises

The codes I made while I practiced various TensorFlow examples

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Tensorflow-101

TensorFlow Tutorials

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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nonnegfac-python

Python toolbox for nonnegative matrix factorization

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nmf-and-ntf

The sample code to study non-negative matrix and tensor factorization.

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graph-network-paper-list

Summarize interesting graph network papers. Classified by methods and sorted by years.

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pyEDM

Python package of EDM tools

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skccm

Convergent Cross Mapping in Scikit Learn's style

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CauseMap.jl

Causal inference in non-linear dynamics systems

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Theano

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

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lectures

Oxford Deep NLP 2017 course

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Tensor-decomposition-completion-and-recovery-papers-and-codes

The collection of tensor decomposition, completion and recovery papers and codes.

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DeepLearningBook-CN

A translation of the deep learning book (翻译《深度学习》)

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DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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awesome-causality-algorithms

An index of algorithms for learning causality with data

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numpy-100

100 numpy exercises (with solutions)

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saxpy

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

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DCRNN

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

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