lukasmosser Goto Github PK
Name: Lukas Mosser
Type: User
Company: @AkerBP
Bio: Advanced Data Scientist - AkerBP
Twitter: porestar
Location: Stavanger, Norway
Name: Lukas Mosser
Type: User
Company: @AkerBP
Bio: Advanced Data Scientist - AkerBP
Twitter: porestar
Location: Stavanger, Norway
Machine learning contest - October 2016 TLE
Anomaly Screening Applying Pseudowells (ASAP). FORCE Hackathon, Stavanger 18-19 September 2018.
Pytorch implementations of "Automatic Seismic Interpretation" publications and repositories
Non-Local Means on Dask
A torch implementation of http://arxiv.org/abs/1511.06434
Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
Wave propagation modules for PyTorch.
Code generation framework for automated finite difference computation
Download and load digital rocks datasets
Codes and data for a manuscript in Interpretation Journal, Aug 2019
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (submitted to the SEG Interpretation Journal 2019).
Starter Pack for the Force NPD LLM Hackathon November 2023
The Fossil NET Image dataset, resources, tools and examples
Fractals and applications coursework
Data used in the creation of plots for the BSc. Thesis of Lukas Mosser
Repository of upcoming abstract submission deadlines for geoscience conferences
Conditioning of three-dimensional geological and pore scale generative adversarial networks
Analysis notebooks for the geolink well log dataset
Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
Find relevant sessions at ICML 2024
:ramen: Minimalist Jekyll Template
Collection of ipython notebooks I have made over the years. Includes notebooks on geoscience, petroleum engineering, data science and more.
A collection of oil&gas related Jupyter notebooks
Keras implementation of Deep Convolutional Generative Adversarial Networks
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.