Pinned Repositories
AI_ML_Seismic_Log
This is for AI prediction using seismic attributes
awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Facies-Classification-Machine-Learning
Finance_Moving_Ave_Strategy
Hyper-Parameter_optimization
Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)
LAS_Pandas
Lithology_Prediction_Deep_Learning
In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction
Practical_ML_Tutorial_Facies_examp
Synthetic_Seismogram
Web_App_ML_Log_streamlit
This is for data web app , log prediction using ML
mardani72's Repositories
mardani72/Facies-Classification-Machine-Learning
mardani72/Practical_ML_Tutorial_Facies_examp
mardani72/Synthetic_Seismogram
mardani72/AI_ML_Seismic_Log
This is for AI prediction using seismic attributes
mardani72/LAS_Pandas
mardani72/Hyper-Parameter_optimization
Automate hyper-parameters tuning for NNs (learning rate, number of dense layers and nodes and activation function)
mardani72/Lithology_Prediction_Deep_Learning
In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction
mardani72/awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
mardani72/Web_App_ML_Log_streamlit
This is for data web app , log prediction using ML
mardani72/Finance_Moving_Ave_Strategy
mardani72/Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
mardani72/Synthetic_Seismic_Outcrop
mardani72/Automation-with-Python
mardani72/Examples-1
Examples using COFII, the Chevron Optimization Framework for Imaging and Inversion.
mardani72/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
mardani72/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.
mardani72/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.
mardani72/MLfromscratch
Machine Learning algorithm implementations from scratch.
mardani72/Multi-class-with-imbalanced-dataset-classification
Multi-class with imbalanced dataset classification
mardani72/python-deepdive
Python Deep Dive Course - Accompanying Materials
mardani72/SeisTrov
Open Seismic Viewer with PyQt5 GUI with PyVista + Matplotlib Library
mardani72/welly
Well handling
mardani72/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
mardani72/alphatensor
mardani72/examples
Example deep learning projects that use wandb's features.
mardani72/Sprint_March_2018