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-data-mining-with-python-implementing-classification-and-regression

Data Mining with Python: Implementing Classification and Regression [Video] by Packt Publishing

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

basic_concepts_python_foroilindustry

brax

Massively parallel rigidbody physics simulation on accelerator hardware.

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

data-mining-and-machine-learning

Worked on google datasets made available be google such as Google sunroof project, Google Play and Google Youtube implementing classifications models including XGBoost, Logistic Regression, Decision tree and KNN

data-mining-classification

Classifying some datasets using KNN, Decision Tree, NB and SVM classifiers written in Python using Jupyter notebook

deep-learning---faults-detection

Deep Learning - Faults Detection

deeplearning

dlfs_code

Code for the book Deep Learning From Scratch, from O'Reilly September 2019

dlisio

Python library for working with the well log formats Digital Log Interchange Standard (DLIS V1) and Log Information Standard (LIS79)

fastdup

FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging. FastDup scales to millions of images running on CPU only.

gaussian-processes-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

geostatspy

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

geostatspy_intro_course

Introduction to spatial data analytics and machine learning with GeostatsPy Python package

gym

A toolkit for developing and comparing reinforcement learning algorithms.

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.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

keras

Deep Learning for humans

lasio

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

machine-learning-projects

machinelearningrecipes

Resources for Machine Learning Recipes based on my published Medium Articles. The datasets required for these models can be found in the blog

matplotx

:bar_chart: More styles and useful extensions for Matplotlib

notebooks

IPython Notebooks

out-of-distribution-generalization.github.io

pyreservoir

Python utilities for reservoir engineering calculations

pyresim

Reservoir simulator in Python language

python-for-signal-processing

Notebooks for "Python for Signal Processing" book

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pywt

PyWavelets - Wavelet Transforms in Python