ngh2014
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Starred repositories
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Maximal overlap discrete wavelet transform is combined with recurrent neural network to automate the labeling of seismic facies data. The proposed framework generates more accurate results in an ef…
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
CIGVis is a tool for geophysical data visualization, which developed by Computational Interpretation Group (CIG)
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
A technical report on convolution arithmetic in the context of deep learning
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Segment Anything in High Quality [NeurIPS 2023]
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Google Research
Examples and guides for using the OpenAI API
Table of Contents for all of the starred repositories in my GitHub
Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
Collection of geophysical notes in the form of IPython/Jupyter notebooks.
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Markov chain simulator in a sequence stratigraphic framework
My blogs and code for machine learning. http://cnblogs.com/pinard
Multi-task learning for low-frequency extrapolation and elastic model building
Geostatistical variogram estimation expansion in the scipy style
