chaoshunh Goto Github PK
Name: Chaoshun
Type: User
Bio: AI fans to apply machine learning, deep learning, NLP, meta learning and deep reinforcement learning for subsurface challenges.
Location: Houston, TX
Name: Chaoshun
Type: User
Bio: AI fans to apply machine learning, deep learning, NLP, meta learning and deep reinforcement learning for subsurface challenges.
Location: Houston, TX
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.
2D and 3D elastic reverse time migration using wavefield decomposition and vector-based excitation amplitude imaging condition.
这是一个开源程序,里面包含了三维各项同性正演模拟和全波形反演[translation: This is an open source program that contains 3D isotropic forward modeling and full waveform inversion.]
A resource repository for 3D machine learning
Deep Neural Networks for Map-Based 4D Seismic Pressure-Saturation Inversion
Sample Node.js application for use in demonstrating Azure Container Registry Build.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
A sample Azure Machine Learning project for creating the Docker container with a pre-trained object detection model and deploying it as API
We propose a deep learning based cloud workload prediction algorithm with Adaptive Pattern Mining (AMP). First, a two-step, multi-models based method is proposed to capture the ”low frequency” and ”high frequency” characteristics of highly-variable workloads simultaneously. Next, we design a DNN based classification algorithm to automatically identify the different workload patterns for a given workload and use the corresponding model to predict the future workload.
Distributed Tensorflow, Keras and BigDL on Apache Spark
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
CNNs with learnable kernel locations
Final project in CS394R: Reinforcement Learning Theory and Practice at UT Austin
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Curated from repositories that make our lives as reservoir engineers and geoscientists easier or just more awesome
Material for Azure Machine Learning tutorial lecture, held within Data Mining course of M.Sc. in Engineering in Computer Science at Università degli Studi di Roma "La Sapienza" (A.Y. 2016/2017).
This is the code for "Azure Machine Learning" By Siraj Raval on Youtube
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
scripts to demonstrate concepts in signal/image processing, seismic modeling
Predicting oil production from horizontal wells using Bayesian hierarchical linear-regression
The class computes the Bayesian Seismic Inversion results . Some modules are missing due to its proprietary natures, updates with an executable file is coming soon.
Geophysics library with various helpful functions
Carla-Simulator environment compatible with Ray/Rllib
Must-read papers and resources related to causal inference and machine (deep) learning
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.