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Machine learning contest - October 2016 TLE
Workflow that takes seismic horizons and generates a labeled seismic volume to be used for deep learning techniques.
This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.
Automatic Differentiation Library for Computational and Mathematical Engineering
Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
A General Approach to Seismic Inversion Problems using Automatic Differentiation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Examples illustrating ASDF data processing
A CNN for denoising speech.
Long list of geospatial tools and resources
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
A Matlab borehole radar/seismic tomography package
Distributed and decentralized training framework for PyTorch over graph
CDnCNN-B for blind color image denoising - Tensorflow implementation
CNN-Event detector and RNN-Phase picker, implemented with Pytorch
convolutional denoising autoencoder
Convolutional Neural Network for Earthquake detection and location
CNN acceleration on virtex-7 FPGA with verilog HDL
Implementation of Gaussian Process regression in CUDA C.
DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seismic data interpolation. C++ implementation.
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
A collection of various deep learning architectures, models, and tips
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
DeepWalk - Deep Learning for Graphs
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.