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100-days-of-ml-code

100 Days of ML Coding

2016-ml-contest

Machine learning contest - October 2016 TLE

2drecurrentrunetsurrogatefordynamicflows

3d-cnnpca

Code for 3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels

3d-recurrent-r-u-net

The deep-learning-based surrogate model for dynamic flows - 3D recurrent R-U-Net

3drecurrentrunetforco2storagegeomechanics

5minutesofpython

some python notebooks for fun

attention-aware-3d-unet-for-rt-dose-prediction

Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.

bottleneck

Fast NumPy array functions written in C

bp-statistical-review-2020

The project represent using Python to extract clean data from the Annaul BP statistical review on world energy. the goal is to get data extracted in a clean formate using pandas.

carbonate-characterization-jupiter-notebook-workflow-modules-with-clerkes-arab-d-calibration-data

This repository uses Jupyter Notebooks to demonstrate a tried and proven workflow with the techniques as described by Phillips(1) et al. used in the characterization of most Arab D reservoirs in Saudi Arabia. Permeability, Petrophysical Rock Types (PRT), Capillary Pressure and modeled saturations are all estimated or calculated in this workflow in order to characterize this complex carbonate reservoirs, and Clerke’s(2) Arab D Rosetta Stone core analysis database is used as the calibration data.

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

cnn-vs-transformers

CNN and Transformer models for evaluating best model performance for Retinal images.

cnnpca_esmda

code_snippets

compendium-of-free-ml-reading-resources

Compendium of free ML reading resources

complete-feature-selection

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

convolutional-neural-networks

countries-gdp-prediction

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

dapper

Data Assimilation with Python: a Package for Experimental Research

data-science-learning-resources

A collection of machine learning resources that I've found helpful (I only post what I've read!)

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-residual-networks

Deep Residual Learning for Image Recognition

deepflow

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

deploy_ml_model

Deploy a Machine Learning Model in the Cloud

digital_rocks_data

Download and load digital rocks datasets

dl-classifing-dogs-vs-cats

Different (CNN/Transformer) solutions to Kaggle's Dogs vs. Cats Redux: Kernels Edition