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100-Days-Of-ML-Code中文版
A highly parallel application for Rayleigh-Benard and Taylor-Couette flows
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
Parallelizing DRL for Active Flow control
Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NIPS 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Deep Multiple Kernel Learning by Span Bound
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Deep Learning of Turbulent Scalar Mixing
Deep Learning of Vortex Induced Vibrations
Deep reinforcement learning to perform shape optimization
Easy Reduced Basis method
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
A hands-on tutorial on supervised learning with Gaussian processes
Hidden Fluid Mechanics
华为招聘状态码全天候在线自动查询工具
Immersed Boundary Projection Method
Deep Learning for humans
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
LAVD is a tool to detect Rotationally coherent Lagrangian vortices automatically in 2D/3D unsteady flows
These are the set of python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 20200334, 2020. (http://dx.doi.org/10.1098/rspa.2020.0334)".
Modred main repository
a multiresolution convolutional autoencoder architecture
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
NeuPy is a Python library for Artificial Neural Networks and Deep Learning.
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.