Akram Zaytar's repositories
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
end-to-end-gee
Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.
jupyter_plz
Copilot for Jupyter notebooks.
grokking-deep-learning-notebooks
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
satellite-data-manipulation-for-ml
Uses tile imagery and polygon labels to prepare a computer vision dataset.
visualizing_optimizers
Inspecting optimizer behavior for simple models.
akramz.github.io
Github Pages for my academic personal website, forked from mmistakes/minimal-mistakes
cookiecutter-ml
Cookiecutter template for productive machine learning.
earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
geospatial-app
A multi-page streamlit app for geospatial
geospatial-primer
A set of notebooks to get started with GeoSpatial analysis with Python.
Impractical_DL
nbdev-supported Personal Notebooks for FastAI's "Part 2: Deep Learning from the Foundations" Course
mapillarygcn
Repo for Predicting Livelihood Indicators from Community-Generated Street-Level Imagery (AAAI21).
pcse_notebooks
A collection of Jupyter notebooks that demonstrate usage of PCSE
research_page
A fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
subseasonal_toolkit
Subseasonal forecasting models
webspace
Trying out Obsidian + Jekyll + GCP for online publishing.