nyleng Goto Github PK

notebooks

IPython Notebooks

nylengeo

oga2018_sweetspotprediction

Predict sweet spots for new wells

particle_swarm_optimization

pca

pca - Principal Component Analysis and insightful plots.

petrophysics-python-series

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

practical-ml-vision-book

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pydse

Python package for dynamic system estimation of time series

pylops_notebooks

Collection of notebooks showcasing how to use various PyLops functionalities

pymc

PyMC version 3 (PyMC 2 is in branch 2.3)

pyswarms

A research toolkit for particle swarm optimization in Python

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

recipes

Well data recipes

scikit-learn

scikit-learn: machine learning in Python

scipy2014-3d_seismic

Data and ipython notebook for my talk at Scipy2014.

scipy2015-3d_printing

Slides, data, and examples from my Scipy2015 talk

segyio

Fast Python library for SEGY files.

segyio-notebooks

Notebooks with examples and demos of segyio

segypy

Read and write SEGY formatted files using Python

segyrw

A simple python code to read and write segy file.

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures

seismic-zfp

Compress and decompress seismic data

seisplot

Plots seismic, sorta

sompy

A Python Library for Self Organizing Map (SOM)

srcnn_tensorflow

stylegan2

StyleGAN2 - Official TensorFlow Implementation

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.