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2016-ml-contest

Machine learning contest - October 2016 TLE

a-channel-runs-through-it

Workflow that takes seismic horizons and generates a labeled seismic volume to be used for deep learning techniques.

accelerating-cnn-with-fpga

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

adcme.jl

Automatic Differentiation Library for Computational and Mathematical Engineering

adfem.jl

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

adseismic.jl

A General Approach to Seismic Inversion Problems using Automatic Differentiation

adversarial-semisupervised-semantic-segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

asdf_examples

Examples illustrating ASDF data processing

audio-denoising

A CNN for denoising speech.

awesome-geospatial

Long list of geospatial tools and resources

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

bh_tomo

A Matlab borehole radar/seismic tomography package

bluefog

Distributed and decentralized training framework for PyTorch over graph

cdncnn-b-tensorflow

CDnCNN-B for blind color image denoising - Tensorflow implementation

cerp_pytorch

CNN-Event detector and RNN-Phase picker, implemented with Pytorch

convdae

convolutional denoising autoencoder

convnetquake

Convolutional Neural Network for Earthquake detection and location

convolution_network_on_fpga

CNN acceleration on virtex-7 FPGA with verilog HDL

cudagp

Implementation of Gaussian Process regression in CUDA C.

decouplednet

DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

deep-learning-applied-to-seismic-data

Seismic data interpolation. C++ implementation.

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

deepdenoiser

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

deeplogs

Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.

deepwalk

DeepWalk - Deep Learning for Graphs