mqqq123 Goto Github PK

2021-digix-baseline

2021 huawei DIGIX competition baseline

conservative_pinns

We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepxde

A library for scientific machine learning and physics-informed learning

few-shot-object-detection-dataset

flow-dataset

A dataset for floating waste detection in inland waters.

fluid

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

fq

fsod-code

k_frappe

machinelearninglab

Some experiments about Machine Learning

openoasis-docs

OpenOasis-Docs，开源绿洲项目技术资料集。

pde-net

PDE-Net: Learning PDEs from Data

pdebench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

pytorchtutorial

Examplary code for NN, MFNN, DynNet, PINNs and CNN

repmet

Few-shot detection for visual categories

sph-sve

Matlab SPH code for the 1D Saint-Venant Equations