Ryan A. Mardani's repositories
AI_ML_Seismic_Log
This is for AI prediction using seismic attributes
Hyper-Parameter_optimization
Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)
Lithology_Prediction_Deep_Learning
In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction
awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Web_App_ML_Log_streamlit
This is for data web app , log prediction using ML
Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
Examples-1
Examples using COFII, the Chevron Optimization Framework for Imaging and Inversion.
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
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.
MLfromscratch
Machine Learning algorithm implementations from scratch.
Multi-class-with-imbalanced-dataset-classification
Multi-class with imbalanced dataset classification
python-deepdive
Python Deep Dive Course - Accompanying Materials
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
examples
Example deep learning projects that use wandb's features.