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Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
FD/RTM/FWI/TOMO/RayTracing, ISO/VTI/TTI, su/segy/sgy, C/C++/java, MPCH/OpenMPI/OpenMP/CUDA/, CWP/Madagascar
Image completion network using incomplete data
The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"
Keras implementation of Deep Convolutional Generative Adversarial Networks
Learn to Build a Machine Learning Application from Top Articles
The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
implemention of the L-BFGS method for smooth unconstrained optimization
贵校课程资料民间整理
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
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)
https://uni.hi.is/eao4/ Fork the work of this link. Multichannel Analysis of Surface Waves
Machine learning as seismic velocity-model building method for full-waveform inversion
This repo contains all of my TensorFlow tutorials
Patch Convolutional Image Denoising - PACAID - algorithm that processes an image, subject to spatial varying noise, through a 22 layers Convolutional Neural Network - CNN - to deliver a cleaner image
PINN_FWI: performing physics-informed neural network for FWI
Physics Informed Neural Network (PINN) for the wave equation.
Must-read Papers on Physics-Informed Neural Networks.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
This repository is for PyFWI, a Python package for seismic FWI and reservoir monitoring (time-lapse FWI)
Radar image extrapolation based on CNN
full waveform inversion and adjoint tomography workflows
stock predict by cnn and lstm
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
使用谷歌开源的TensorFlow进行一系列的训练实践
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A TensorFlow implementation of DeepMind's WaveNet paper
tensorflow实战练习,包括强化学习、推荐系统、nlp等
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.