Akramz
Geospatial ML @Microsoft. Previously @IBMResearch. Interested in data science, machine learning, and Computer Vision.
MicrosoftTangier, Morocco
Pinned Repositories
akramz
artificial_intelligence_university_courses
University-backed artificial intelligence courses
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
end-to-end-gee
Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.
grokking-deep-learning-notebooks
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
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
jupyter_plz
Copilot for Jupyter notebooks.
Machine-Learning-Foundations
In progress: Jupyter Notebook on the Mathematical Foundation of Machine Learning
indaba-pracs-2023
Notebooks for the Practicals at the Deep Learning Indaba 2023.
interactive_geospatial_mapping
Intended for an AMLD 2024 workshop.
Akramz's Repositories
Akramz/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
Akramz/end-to-end-gee
Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.
Akramz/jupyter_plz
Copilot for Jupyter notebooks.
Akramz/grokking-deep-learning-notebooks
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
Akramz/akramz
Akramz/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
Akramz/code_snippets
Akramz/geospatial-primer
A set of notebooks to get started with GeoSpatial analysis with Python.
Akramz/ngboost
Natural Gradient Boosting for Probabilistic Prediction
Akramz/satellite-data-manipulation-for-ml
Uses tile imagery and polygon labels to prepare a computer vision dataset.
Akramz/visualizing_optimizers
Inspecting optimizer behavior for simple models.
Akramz/akramz.github.io
Github Pages for my academic personal website, forked from mmistakes/minimal-mistakes
Akramz/baal
Library to enable Bayesian active learning in your research or labeling work.
Akramz/bitcoin
SImple, common-sense Bitcoin-themed Python ECC library
Akramz/blog
Blogging...
Akramz/cookiecutter-ml
Cookiecutter template for productive machine learning.
Akramz/course23
The fast.ai course notebooks
Akramz/earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Akramz/ezeda
Tools for fast exploratory data analysis [in DEV].
Akramz/geospatial-app
A multi-page streamlit app for geospatial
Akramz/Impractical_DL
nbdev-supported Personal Notebooks for FastAI's "Part 2: Deep Learning from the Foundations" Course
Akramz/mapillarygcn
Repo for Predicting Livelihood Indicators from Community-Generated Street-Level Imagery (AAAI21).
Akramz/pcse_notebooks
A collection of Jupyter notebooks that demonstrate usage of PCSE
Akramz/plz-cli
Copilot for your terminal (light fork)
Akramz/requests
A simple, yet elegant, HTTP library.
Akramz/research_page
A fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates
Akramz/SSF
Akramz/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Akramz/subseasonal_toolkit
Subseasonal forecasting models
Akramz/webspace
Trying out Obsidian + Jekyll + GCP for online publishing.