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/Bgolearn
A Bayesian global optimization package for material design
XinWang-HNU/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
XinWang-HNU/Attentional-Autoencoders-for-Hyperspectral-Dimensionality-Reduction
This repository contains the data and code for the paper, "Attention Based Convolution Autoencoder for Dimensionality Reduction in Hyperspectral Images".
XinWang-HNU/Book2_Beauty-of-Data-Visualization
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习；本册草稿正在改版，正在上传
XinWang-HNU/ChatGPTA-Prompt-Engineering-Guide
:octopus: Guides, papers, lecture, and resources for prompt engineering
XinWang-HNU/datamodels-data
Data for "Datamodels: Predicting Predictions with Training Data"
XinWang-HNU/deepxde-lulu
A library for scientific machine learning and physics-informed learning
XinWang-HNU/GALE
A Python Library for Global Adaptive Learning fromCMAME
XinWang-HNU/Gang-neuron
It may be time to improve the neuron of artificial neural network (IEEE preprints-IEEE preprints ranking （TechRxiv）: Top 1 in yearly popularity-You should cite it.): https://doi.org/10.36227/techrxiv.12477266. Dendrite Net: A White-Box Module for Classification, Regression, and System Identification: https://arxiv.org/abs/2004.03955.
XinWang-HNU/github-slideshow
A robot powered training repository :robot:
XinWang-HNU/GNN_dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
XinWang-HNU/google-research
Google Research
XinWang-HNU/INNLab
A python/pytorch package for invertible neural networks
XinWang-HNU/lsdyna_dynareadout_python
Python package of dynareadout for uploading to PyPI
XinWang-HNU/lsdyna_Keywords_parser
A Python parser for dealing 3D objects in LS DYNA Key Files
XinWang-HNU/Manifold_Mixture_VAEs
Manifold Learning by Mixture Models of VAEs for Inverse Problems
XinWang-HNU/mfem
Lightweight, general, scalable C++ library for finite element methods
XinWang-HNU/netgen-FEM-solver
XinWang-HNU/neural-tangents
Fast and Easy Infinite Neural Networks in Python
XinWang-HNU/neuraloperator
Learning in infinite dimension with neural operators.
XinWang-HNU/neuraluq
XinWang-HNU/particles
Sequential Monte Carlo in python
XinWang-HNU/PhySO
Physical Symbolic Optimization
XinWang-HNU/PINN_Comp_Mech
PINN program for computational mechanics
XinWang-HNU/pylint-
It's not just a linter that annoys you!
XinWang-HNU/pytorch_geometric
Graph Neural Network Library for PyTorch
XinWang-HNU/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
XinWang-HNU/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
XinWang-HNU/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
XinWang-HNU/ydata-synthetic
Synthetic data generators for tabular and time-series data