xclmj Goto Github PK

deep_climate_emulator

deepkoopman

neural networks to learn Koopman eigenfunctions

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning4recommendersystem

deep learning for recommender system

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

deepwell

Summer student project 2020

deepxde

Deep learning library for solving differential equations and more

dense-convolutional-encoder-decoder-network-with-dense-block

Convolutional Encoder-Decoder Networks for Image-to-Image Regression for a 100 * 100 2D GaussianModel

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet.pytorch

A PyTorch implementation of DenseNet.

dfnworks

dfnWorks is a parallelized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport. If you download the software please fill out our interest form to stay up to date on releases https://goo.gl/forms/VE39oKsyp4LVC6Gj2 and join our google group https://groups.google.com/d/forum/dfnworks-users

dfogn

DFO-GN: Derivative-Free Optimization using Gauss-Newton

dimensionality-reduction-with-autoencoder

Using Autoencoder for dimensionality reduction and feature extraction

discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

dmtk

Microsoft Distributed Machine Learning Toolkit

dream_v2

The DREAM tool is an optimization software that determines subsurface monitoring configurations which detect carbon dioxide (CO2) leakage in the least amount of time. DREAM reads ensembles of CO2 leakage scenarios and determines optimal monitoring locations and techniques to deploy based on user-identified constraints. These data result in well configurations with the highest potential to detect leakage and minimize aquifer degradation in the shortest amount of time. DREAM was developed as part of the National Risk Assessment Partnership.

drillinganalytics

Machine Learning Based on Real-Time Geosteering Data.

e2c

TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

e2c-pytorch

E2C implementation in PyTorch

eclgym

Reservoir Simulation environment for Reinforcement Learning. Eclipse Integration for Gym toolkit.

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

endas

Ensemble Data Assimilation for Python

enkfres

EnKF for ECLIPSE

enlstm

Ensemble long short-term memory. A gradient-free neural network that combines ensemble neural network and long short-term memory.

ensdam

Ensemble Data Assimilation Modules

ert

ert-client

ERT API client library

ert_old

ERT is a software initially developed by Statoil which main feature is to handle several ECLIPSE simulations in an Ensemble setting.

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)