Pinned Repositories
2D-cnn-denoise-Unet
ADCME.jl
Automatic Differentiation Library for Computational and Mathematical Engineering
ADSeismic.jl
A General Approach to Seismic Inversion Problems using Automatic Differentiation
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
fast-wavenet
Speedy Wavenet generation using dynamic programming :zap:
fastFWI
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
MASW
https://uni.hi.is/eao4/ Fork the work of this link. Multichannel Analysis of Surface Waves
ML_full_wave_Inversion
Machine learning as seismic velocity-model building method for full-waveform inversion
pinn_fwi
PINN_FWI: performing physics-informed neural network for FWI
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
jedfang's Repositories
jedfang/MASW
https://uni.hi.is/eao4/ Fork the work of this link. Multichannel Analysis of Surface Waves
jedfang/fastFWI
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
jedfang/ML_full_wave_Inversion
Machine learning as seismic velocity-model building method for full-waveform inversion
jedfang/pinn_fwi
PINN_FWI: performing physics-informed neural network for FWI
jedfang/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
jedfang/ADCME.jl
Automatic Differentiation Library for Computational and Mathematical Engineering
jedfang/ADSeismic.jl
A General Approach to Seismic Inversion Problems using Automatic Differentiation
jedfang/ajmalkoti.github.io
jedfang/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
jedfang/CNN-FWI
jedfang/compression
Data compression in TensorFlow
jedfang/Constant-Q-PSTD
jedfang/ConvNetDraw
Draw multi-layer neural network in your browser
jedfang/datasets
A collection of datasets ready to use with TensorFlow
jedfang/deepwave
Wave propagation modules for PyTorch.
jedfang/deepxde
A library for scientific machine learning and physics-informed learning
jedfang/FWI-using-temporal-fourth-FD-modelling-1
These codes are used to complete elastic full waveform inversion using temporal fourth-order FD modelling. In order to accelete the algorith, GPU-based versions are privided here. What's more, the GPU shared memory is used in block level and the efficiency improvement is about 10%~15% on GTX 750ti, where efficiency improvement is dependent on the length of FD orders.
jedfang/FWIGAN
FWIGAN: Full-Waveform Inversion with Deep Adversarial Learning
jedfang/marketTrader
An all-in-one python script that will: gather and pull data from top gaining stocks, calculate which stock has the highest chance of profit, and using machine learning to buy and sell throughout a typical market day. (WIP)
jedfang/pinn_wave
Physics Informed Neural Network (PINN) for the wave equation.
jedfang/PINNforFWI
jedfang/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
jedfang/PyFWI
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
jedfang/seisflows
full waveform inversion and adjoint tomography workflows
jedfang/TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
jedfang/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
jedfang/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
jedfang/TorchFWI
Elastic Full-Waveform Inversion Integrated with PyTorch
jedfang/U-DeepFWI
U-Net neural network applied to FWI problems
jedfang/wavetorch
🌊 Numerically solving and backpropagating through the wave equation