antoineheu Goto Github PK
Name: Antoine Heude
Type: User
Bio: learner, geologist, data scientist and machine learning engineer in the environmental industry
Location: Québec, QC
Antoine Heude's Projects
data-science-for-mini-datasets
Applying data-science and ML concepts to small datasets is highly discutable but I would argue that even the small one can benefit from it - if the user keeps in mind that the results are to be taken with a grain of salt
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 adress parameter and model uncertainties.
ml-from-scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
scikit-gstat
Geostatistical expansion in the scipy style
tips-and-tricks-for-the-geostatistician
Small tricks useful for the data scientist and geostatistician
ultrasound-nerve-segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
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