Matteo Niccoli's repositories
Data-science-tools-petroleum-exploration-and-production
Python and R notebooks accompanying a talk at the 2018 CSEG / CSPG Geoconvention in Calgary - and a lot MORE!
Force-2020-Machine-Learning-competition_predict-lithology-EDA
Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest
Colormap-distorsions-Panel-app
A Panel app to demonstrate distorsions created by non-perceptual colormaps on geophysical data
Be-a-geoscience-detective
Why choose between Data Science and Geoscience? Do both!
t21-hack-footprint
Repo for the TRANSFORM 2021 Hackathon project on seismic acquisition footprint noise filtering
data-science-at-scale
A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
Learning_Python
Source material for Python Like You Mean it
2D_FFT_filter_tutorial
Geophysical tutorial: filtering of (modeled and real) 2D periodic noise in the frequency domain
advanced-ai-transformers-for-computer-vision-3085710
This repo is for the Linkedin Learning course: Advanced AI: Transformers for Computer Vision
building-deep-learning-applications-with-keras-3837000
this repo is for Linkedin learning course: Building Deep Learning Applications with Keras [Revision Q2 2024]
colabtools
Python libraries for Google Colaboratory
Coursera-Xarray
Repository for the "Climate Geospatial Analysis with Python and Xarray" project on Coursera
fastbook_sandbox
My experiments with the fastai course notebooks
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.
materials-x18
Publicly available materials that are used in the Data 8X Foundations of Data Science course on EdX in 2018. Generated by data-8/assignments (private).
materials-x19
Publicly available materials that are used in the Data 8X Foundations of Data Science course on EdX in 2019.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
ras2las
Well log digitalization
tensorflow-neural-networks-tables-3007570
TensorFlow: Neural Networks and Working with Tables
tensorFlow-working-with-images-3021324
TensorFlow: Working with Images
walkwithfastai.github.io
Host for https://walkwithfastai.com