chaoshunh
AI fans to apply machine learning, deep learning, NLP, meta learning and deep reinforcement learning for subsurface challenges.
Houston, TX
Pinned Repositories
2d-tomography
This repository is a 2D travel-time tomography seismic using MATLAB which I build and my friend Rinta in order to complete my Final Projects. The forward modelling is resolved using Fast Marching Method (FMM) with finite difference approximation and the raytracing is resolved based on John Vidale paper, Finite difference calculation of travel times. This code can use two method in inversion part, Least Square and Pseudo-Inverse where the input data is only needed travel time and the location of station (in UTM, both easting and northing). You can also set some parameters which could affects the tomography result, such as the number of iteration, displaying forward modelling or inverse modelling to track your data, save your model or not and etc.
ContinuousMaze
Computational Neuroscience Course: RL in continuous state and action space
d2geo
Framework for computing seismic attributes with Python.
darknet
Convolutional Neural Networks
DDQN-PER
Double Deep Q-Learning with Prioritized Experience Replay
deep-reinforcement-learning
Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
Domain-Adaptation-Using-Optimal-Transport-Filter-Techniques-as-Wavelet-Transform-in-Speech-Recogniti
Domain adaptation using Optimal Transport as Loss Function using Generative Adversarial Networks on regression and classification problems.
FD-RTM-FWI-2018.01.31backup
Finite difference forward modeling, Full waveform inversion, reverse time migration, raytracing, CUDA, MPICH, C, OpenMP, GTK, GUI, Hybrid Programming, backup
MSDS6371401
PTGPBO
Bayesian Optimisation with Gaussian Processes implemented in PyTorch
chaoshunh's Repositories
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