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Type: User
Company: Self_Studying
Bio: A Learner
Location: The World
Type: User
Company: Self_Studying
Bio: A Learner
Location: The World
18.337 - Parallel Computing and Scientific Machine Learning
Code to recreate the tutorial and figures in the book chapter.
【国赛】【美赛】数学建模相关算法 MATLAB实现(2018年初整理)
基于深度学习的机械设备故障诊断方法研究
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
Pytorch easy-to-follow Capsule Network tutorial
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropri
Code for Nature energy manuscript
Deep Denoising Autoencoder for Seismic Random Noise Attenuation
deep learning for image processing including classification and object-detection etc.
The deep residual shrinkage network is a variant of deep residual networks.
Deep BSDE solver in TensorFlow
Wave propagation modules for PyTorch.
Code generation framework for automated finite difference computation
Solving High Dimensional Partial Differential Equations with Deep Neural Networks
Code for Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
Codes for measuring travel-time shifts by seismic interferometry in the time-frequency domain with wavelet cross-spectrum analysis.
Examples of using DWave quantum annealing system
An efficient seismic matched-filter search for both CPU and GPU architectures.
Deep-learning inversion: A next-generation seismic velocity model building method
Python package for first-break picking
Generative Adversarial Networks - Physics Informed
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.