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cnnforcfd icon cnnforcfd

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

data-assisted icon data-assisted

Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1803.03365

deephpms icon deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

emtg icon emtg

Mirror of NASA Goddard's autonomous space mission design tool.

habitat-api icon habitat-api

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

hpm icon hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

kronic icon kronic

Koopman Reduced-Order Nonlinear Identification and Control

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

meam517-rollingrobot icon meam517-rollingrobot

Dynamics and Trajectory Optimization of A Rolling Spherical Robot with a Single Actuator

neuralrg icon neuralrg

Pytorch source code for arXiv paper Neural Network Renormalization Group

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

openspace icon openspace

This is the official GitHub repository for OpenSpace: an open source astrovisualization project. For instructions on how to build and run OpenSpace, see the Getting Started Guides on the wiki page.

pagmo icon pagmo

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included. A common interface is provided to other optimization frameworks/algorithms such as NLOPT, SciPy, SNOPT, IPOPT, GSL

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