joshua-atolagbe Goto Github PK

computational-geophysics

Python implementations in geophysical methods: seismic and gravity

computational-social-science-training-program

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

courseratestrepo

deeplearningseismic

dsn-2020-kowope-store-challenge

estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network

The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.

fastai-tutorials

gan-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

holbertonschool-low_level_programming

:rocket: Low-level programming training module

horizontracker

data-driven seismic horizon tracking using non-local dynamic time warping

ml-and-ds-geoscience-papers

A collection of published papers, abstracts, and introductory articles of Machine Learning and Data Science related to applications on Geoscience and Hydrocarbon exploration.

niger-delta-basemap

nlp-for-sentiment-analysis

opendtect-ml-dev

Examples on how to develop your own Machine Learning tools and workflows

petrolib

A Python Package for Petrophysical Evaluation

pipe-leakage-detection

Pipe leakage detection using logistic regression

porosity-prediction

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

rock-classifier

segyio-notebooks

Notebooks with examples and demos of segyio

self-supervised-sem-seg

Self-Supervised Semantic Segmentation using BYOL(Bootstrap your own Latent) and fine tuning using FCN8s(Fully Convolutional Network)

transform2022_selfsuperviseddenoising

A hands-on introduction to self-supervised, blind-spot denoising

tutorials

umojahack-africa-2022-monthly-insurance-claim-prediction

UmojaHackathon2022 -- Intermediate Challenge

wige-data-science-professional-worskhop-2024