Pinned Repositories
astroABC
Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
ATHENA
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
awesome-CAE
A curated list of awesome CAE frameworks, libraries and software.
Bgolearn
A Bayesian global optimization package for material design
cppn-gan-vae-tensorflow
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
CrackDect
Expandable crack detection for composite materials.
einops
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
Matlab-Toolbox-for-Dimensionality-Reduction
Matlab Toolbox for Dimensionality Reduction
rflvm
Random feature latent variable models in Python
SDNE
Reimplementation of SDNE by Pytorch. The paper is "Structural Deep Network Embedding".
XinWang-HNU's Repositories
XinWang-HNU/UQ_in_ML
XinWang-HNU/PyQt
PyQt Examples(PyQt各种测试和例子) PyQt4 PyQt5
XinWang-HNU/Exploratory-Project-TwinSVR
XinWang-HNU/ADCME.jl
Automatic Differentiation Library for Computational and Mathematical Engineering
XinWang-HNU/cppn-gan-vae-tensorflow
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
XinWang-HNU/pyinstaller
Freeze (package) Python programs into stand-alone executables
XinWang-HNU/vae
a simple vae and cvae from keras
XinWang-HNU/rflvm
Random feature latent variable models in Python
XinWang-HNU/ParametricUMAP_paper
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
XinWang-HNU/seaborn-doc-zh
:book: [译] seaborn 0.9 中文文档
XinWang-HNU/sonnet
TensorFlow-based neural network library
XinWang-HNU/SDNE
Reimplementation of SDNE by Pytorch. The paper is "Structural Deep Network Embedding".
XinWang-HNU/GAE_VGAE
Reimplementation of VGAE by Pytorch. The paper is "Variational Graph Auto-Encoders".
XinWang-HNU/PSDR
Parameter space dimension reduction toolbox
XinWang-HNU/machine
Mathematical and Computational Methods for Inverse Problems
XinWang-HNU/SPCA
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA
XinWang-HNU/Algos-For-Inverse-Problems
XinWang-HNU/pyqtgraph
Fast data visualization and GUI tools for scientific / engineering applications
XinWang-HNU/hub
A library for transfer learning by reusing parts of TensorFlow models.
XinWang-HNU/dnn-as-gp
Deep neural network kernel for Gaussian process
XinWang-HNU/variable-stiffness
An Open-Source Framework for the FE Modelling and Optimal Design of Fiber-Steered Variable-Stiffness Composite Cylinders Using Water Strider Algorithm
XinWang-HNU/modl
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
XinWang-HNU/pyglmnet
Python implementation of elastic-net regularized generalized linear models
XinWang-HNU/PEIP
MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems
XinWang-HNU/mcmc-demo
Interactive Markov-chain Monte Carlo Javascript demos
XinWang-HNU/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
XinWang-HNU/bayesfast
Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
XinWang-HNU/image-gpt
XinWang-HNU/KissABC.jl
Pure julia implementation of Sequential Monte Carlo - Approximate Bayesian Computation
XinWang-HNU/BenchmarkFcns
A collection of mathematical test functions for benchmarking optimization algorithms.