zdawg87's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
mli/paper-reading
深度学习经典、新论文逐段精读
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!
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
MLNLP-World/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
hugo2046/QuantsPlaybook
量化研究-券商金工研报复现
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
michaelgutmann/ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE
GeostatsGuy/GeostatsPy
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, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
yoninazarathy/MathematicalEngineeringDeepLearning
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
AllenDowney/BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
kinverarity1/lasio
Python library for reading and writing well data using Log ASCII Standard (LAS) files
agilescientific/welly
Welly helps with well loading, wireline logs, log quality, data science
seg/2016-ml-contest
Machine learning contest - October 2016 TLE
YangFangShu/FCNVMB-Deep-learning-based-seismic-velocity-model-building
Deep-learning inversion: A next-generation seismic velocity model building method
aadm/geophysical_notes
Collection of geophysical notes in the form of IPython/Jupyter notebooks.
mitmath/18065
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
yalaudah/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" (published in the SEG Interpretation Journal, August 2019).
seismicreservoirmodeling/SeReMpy
Seismic Reservoir Modeling Python package
vishaldas/CNN_based_impedance_inversion
Convolutional neural network for seismic impedance inversion
brendonhall/facies_classification
sconten/rppy
A rock physics library for Python
seismicreservoirmodeling/SeReM
Seismic Reservoir Modeling package
vishaldas/CNN_based_petrophysical_inversion
Neural network based petrophysical property inversion
StanfordRockPhysics/The-Rock-Physics-Handbook-3rd-Edition
Website for Rock Physics Handbook 3rd edition
mwdunham/ssGMM
A Python code for semi-supervised Gaussian mixture models (ssGMM)
NanzheWang/Upscaling-based-on-TgCNN
Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder
StanfordRockPhysics/CNN_based_petrophysical_inversion
Neural network based petrophysical property inversion
SCRFpublic/PyNoddyInversion
Repository to accompany PyNoddy that includes inversion code