I am currently working on Deep Learning Model for Inversion. I am currently learning Github.
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An automatic differentiation based (AD-based) multimodal surface wave inversion tools
A curated list of deep learning resources for computer vision
🌀 Stanford CS 228 - Probabilistic Graphical Models
CubiCasa5k floor plan dataset
Collection of useful data science topics along with code and articles
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
This repository contains implementations and illustrative code to accompany DeepMind publications
Code generation framework for automated finite difference computation
Course material for the lecture "Differential equations in the earth system" (WS 2019/2020) @ CAU Kiel
frequency-velocity domain representation of seismic data
Keras tutorial for beginners (using TF backend)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
The fastai deep learning library
Visualization toolkit for neural networks in PyTorch! Demo -->
FTAN analysis and inversion of seismic surface waves
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
For reading how seismic inversion competition was handled.
github-starter-course created by GitHub Classroom
This package inverts the MASW dispersion curves,Trust Region Method.
Google IT Automation with Python Professional Certificate - Practice files
Winning solution for the Kaggle TGS Salt Identification Challenge.
Neural network visualization toolkit for keras
Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks
A Nice-looking CV template made into LaTeX
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
collection of scratch ipynbs. if you want to steal my research this is where you should look but good luck
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.