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weichang's Projects

fbsnns icon fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

fpn_hsl-tfp icon fpn_hsl-tfp

A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout

gpinn icon gpinn

gPINN: Gradient-enhanced physics-informed neural networks

hfm icon hfm

Hidden Fluid Mechanics

hpinn icon hpinn

hPINN: Physics-informed neural networks with hard constraints

hpm icon hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

machine-learning icon machine-learning

邱锡鹏老师《神经网络与深度学习》一书参考视频及补充材料(非官方),主要是依据邱老师书籍的编排顺序整理了近几年李宏毅老师以及“白板推导系列”的所有内容,视频内容几乎涵盖邱老师书中的所有知识。另外也补充了自己在学习过程中接触过的一些好的资料。还在调整与更新中ing...

mine_pytorch icon mine_pytorch

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

mth_4115 icon mth_4115

Numerical Analysis, 2nd Edition (9780321783677): Timothy Sauer. Course notes and code assignments.

my-git icon my-git

Individual collecting material of learning git(有关 git 的学习资料)

neuralgenetic icon neuralgenetic

Optimizing artificial neural network parameters using the genetic algorithm for the classification of the Fruits360 dataset. The implementation is from scratch using NumPy.

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

numerical-mooc icon numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

phy-net icon phy-net

compressing physics with neural networks

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