RIPED-Geqiang

RIPED-Geqiang's Stars

• trhallam/segysak

  SEGY Swiss Army Knife for Seismic Data

  Language:Python9734

• Visualize-ML/Book3_Elements-of-Mathematics

  Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

  Language:Python6.5k1.1k

• Visualize-ML/Book1_Python-For-Beginners

  Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！

  Language:Jupyter Notebook5k967

• Visualize-ML/Book2_Beauty-of-Data-Visualization

  Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正

  Language:Jupyter Notebook2.9k592

• Visualize-ML/Book4_Power-of-Matrix

  Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

  Language:Python8.8k1.3k

• Visualize-ML/Book7_Visualizations-for-Machine-Learning

  Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正

  Language:Jupyter Notebook2.5k478

• Visualize-ML/Book6_First-Course-in-Data-Science

  Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

  Language:Jupyter Notebook2.1k378

• Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

  Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

  Language:Jupyter Notebook3k620

• rodrigoext/esmda

  Ensemble Smoother with Multiple Data Assimilation

  Language:Jupyter Notebook62

• leandrofgr/GeoStatRockPhysics

  On going research of using StatisticalRockPhysics for 4D inversion of elastic properties for petrophysical properties

  Language:MATLAB2

• mitmath/18065

  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

  Language:Jupyter Notebook14132

• intro-stat-learning/ISLP_labs

  Up-to-date version of labs for ISLP

  Language:Jupyter Notebook769445

• mitmath/1806

  18.06 course at MIT

  Language:Jupyter Notebook2.6k685

• chunhuizhang/modern_ai_for_beginners

  modern AI for beginners

  Language:Jupyter Notebook1015

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.5k

• sede-open/synthoseis

  Generating seismic data and associated labels to train deep learning networks.

  Language:Jupyter Notebook5712

• hutaiHang/Faster-Diffusion

  [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"

  Language:Python30819

• jaywcjlove/linux-command

  Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

  Language:Markdown32.2k6.2k

• CTeX-org/lshort-zh-cn

  A Chi­nese edi­tion of the Not So Short Introduction to LaTeX2ε

  Language:TeX3k409

• yujiaxin666/rockphypy

  extensive Python library for rock physics modelling

  Language:Python3811

• lizhemin15/numerical

  Language:Jupyter Notebook2212

• stuliveshere/PySeis

  Pure python seismic data processing

  Language:HTML6820

• ABDunbar/Quantitative_Seismic_Interpretation

  Statistical Rock Physics via Avseth et al, 2005

  Language:Jupyter Notebook82

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.1k2.2k

• jzsherlock4869/cyclegan-pytorch

  An easy-to-modify and easy-to-follow re-implementation of CycleGAN (cycle-consistent generative adversarial network) in PyTorch

  Language:Python8

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.5k3.7k

• drrelyea/spgl1

  Port of SPGL1 to python

  Language:Python4529

• AllenDowney/ThinkBayes2

  Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

  Language:Jupyter Notebook1.8k1.5k

• sgrvinod/Deep-Tutorials-for-PyTorch

  In-depth tutorials for implementing deep learning models on your own with PyTorch.

  1.5k225

• getspams/spams-python

  Python interface for SPAMS (SPArse Modeling Software)

  Language:C++177