cui-xiaoang96

cui-xiaoang96's Stars

• jgraph/drawio-desktop

  Official electron build of draw.io

  Language:JavaScript50.5k5281.5k5k

• philipperemy/keras-tcn

  Keras Temporal Convolutional Network.

  Language:Python1.9k48171455

• softwareunderground/awesome-open-geoscience

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

  1.5k14037477

• GeostatsGuy/PythonNumericalDemos

  Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

  Language:Jupyter Notebook1.4k649492

• wanzhenchn/EndNote_Tutorial_Hand_by_Hand

  手把手教你使用 EndNote X9/NoteExpress

  1.2k293221

• obspy/obspy

  ObsPy: A Python Toolbox for seismology/seismological observatories.

  Language:Python1.2k1111.8k535

• equinor/segyio

  Fast Python library for SEGY files.

  Language:Python48437237216

• carlos-wong/cerebro-codelf

  ⭐️ 给变量起名的事情上，为你生命省 3s (Save 3 seconds of your life when naming things.)

  Language:JavaScript368121237

• microsoft/Recursive-Cascaded-Networks

  [ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

  Language:Python366157487

• agilescientific/bruges

  Bag of really useful geoscience equations and stuff

  Language:Python2745071118

• sinhasam/vaal

  Variational Adversarial Active Learning (ICCV 2019)

  Language:Jupyter Notebook225113051

• dsgissin/DiscriminativeActiveLearning

  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

  Language:Python2025255

• ratschlab/SOM-VAE

  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

  Language:Python19011632

• toddheitmann/PetroPy

  A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

  Language:Python178251166

• agilescientific/xlines

  X lines of Python

  Language:Jupyter Notebook11329160

• FENGShuanglang/Pytorch_Medical_Segmention_Template

  This is a pytorch project template about medical segmentation

  Language:Python1114329

• ratschlab/dpsom

  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'

  Language:Python665416

• AyanKumarBhunia/Handwriting_Recogition_using_Adversarial_Learning

  [CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

  Language:Python629617

• uqzzhao/Programming-Geophysics-In-Python

  Codes and tutorials of "Programming Geophysics In Python", a course designed and taught by Dr. Lutz Gross.

  Language:Jupyter Notebook34406

• platypython/prygress

  Threaded progress bar for python functions

  Language:Python29402

• fnavarrov/SGeMS

  Mirror of "The Stanford Geostatistical Modeling Software (SGeMS)"

  Language:C++234012

• RayXie29/SENet_Keras

  Implementation of Squeeze-and-Excitiation Network on Keras

  Language:Jupyter Notebook22307

• xingshulicc/deformable-convolution-Neural-Network

  A good example of deformable convolutional network for mnist classification

  Language:Python201211

• AuScope/geomodel-2-3dweb

  Generates 3D web versions of geological models

  Language:Python151044

• chrisengelsma/3d-painting

  A 3-dimensional image-guided paintbrush for seismic interpretation

  Language:Java15207

• daodaozi100/Skeleton-Pruning-of-an-Image

  MATLAB implemention of image thinning algorithm.

  Language:Matlab7002

• cui-xiaoang96/2019-China-GMCM

  研究生数学建模比赛

  Language:Python52

• you359/Keras-MetaLearning

  Language:Python5305

• iamjz/geostatistics

  Geospatial analytics and spatial statistics

  Language:Jupyter Notebook2000

• IcemanJia/python_segy

  A python toolbox for generating seismic training samples, integrated with pytorch

  11