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52things

52 Things You Should Know About Geocomputing

anything-llm

Open-source ChatGPT experience for both open and closed source LLMs, embedders, and vector databases. Unlimited documents, messages, and concurrent users with permission management in one app.

avo_explorer

Interactive Jupyter notebook to explore AVO effects and AVO classes.

awesome-open-geoscience

cnn_seismic_facies_classification

cs231n-note-translation_cn

CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit

cs231n.github.io

Public facing notes page

dapp-learning

Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.

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

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

densenet

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

dreamersun

facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (accepted for publication in the SEG Interpretation Journal, May 2019).

fastbook

The fastai book, published as Jupyter Notebooks

fatiando

Python toolkit for modeling and inversion in geophysics

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

free-programming-books

:books: Freely available programming books

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gclx-contracts

gclx-official

geophysical_notes

Collection of geophysical notes in the form of IPython/Jupyter notebooks.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-world

my first prj on github

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

jtk

The Mines Java Toolkit

keras-gan

Keras implementations of Generative Adversarial Networks.

las

Python reader for Canadian Well Logging Society LAS (Log ASCII Standard) files.

lasio

Python library for reading and writing well data using Log ASCII Standard (LAS) files

lina-seismic-playground

Machine Learning/ Deep Learning processing Seismic data