Phelixh
Eager to learn. Experienced with enthusiasm. Driven to succeed.
Wuhan University of TechnologyWuhan
Pinned Repositories
2021SURF
This is the SURF program, using PINN to deal with the pressure field of subsurface flow, which is governed by Darcy equation. The DNN framework is based on Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations by Maziar Raissi, Paris Perdikaris, and George Em Karniadakis.
2023-Big-Data-Driven-Artificial-Intelligence
3DFNO_GCS
This repo contains the code of using FNO for fast modeling of large-scale geological carbon storage
aata
Public repository for Abstact Algebra Theory and Applications
academic-kickstart
Personal website made user Academic & Hugo, hosted on Netlify
adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Adaptive-Information-Dynamic-Model
adversarial_reisz
Adversarial estimation of Reisz representers
AI-Aristotle
Phelixh.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Phelixh's Repositories
Phelixh/Bayesian-Statistics-Econometrics
Bayesian Statistics-Econometrics
Phelixh/probability
Probabilistic reasoning and statistical analysis in TensorFlow
Phelixh/gptips-2-0
Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB
Phelixh/DQN-based-UAV-3D_path_planer
Realization of UAV's Track Planning in 3D Urban Environment Based on Reinforcement Learning Algorithm(DQN)
Phelixh/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Phelixh/RoutingProblemGANN
Phelixh/tutorials
Tutorials on deep learning, Python, and dissipative particle dynamics
Phelixh/xPINNs
when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/10.1016/j.cma.2022.115346
Phelixh/gdec
Grating decoders
Phelixh/Axler-Linear-Algebra-Solutions
Solutions to Linear Algebra Done Right by Sheldon Axler, 3rd Edition
Phelixh/PhysicsML-CombineFeatures
This repo contains the code used for the paper - Combining Deep Learning with Physics Based Features in Explosion-Earthquake Discrimination
Phelixh/DRL_algorithm_library
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
Phelixh/WHU-data-science-introduction
武汉大学数据科学导论
Phelixh/Cellular_Automata
Phelixh/deep-photo-styletransfer-tf
Tensorflow (Python API) implementation of Deep Photo Style Transfer
Phelixh/BasicReservoirComputing
Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
Phelixh/Monkey_ECoG
Reconstruction of the large scale connectome based on macaque ECoG data.
Phelixh/Complex-Network
复杂网络研究资源整理和基础知识学习
Phelixh/Generate-Emotional-Music
This is the dataset and code for paper "Generating Music with Emotions"
Phelixh/python2latex
The Python to LaTeX converter
Phelixh/lecture-notes
LaTeX code for some of my lecture notes
Phelixh/Bayesian-PINN-Pytorch
Phelixh/Neural-Style-Transfer-Papers
:pencil2: Neural Style Transfer: A Review
Phelixh/PINN-elastodynamics
physics-informed neural network for elastodynamics problem
Phelixh/Probability_Theory
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
Phelixh/BDA_py_demos
Bayesian Data Analysis demos for Python
Phelixh/cs267
ucb cs267
Phelixh/DLADA
A deep-learning based workflow for subsurface data assimilation and prediction
Phelixh/hk
Phelixh/PINN-COVID
PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).