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  • ๐Ÿ‘‹ Hi, Iโ€™m Oladimeji Mudele
  • ๐Ÿ‘€ Iโ€™m interested in remote sensing, geospatial ML, causal interference, and data analysis for understanding the interactions between climate and health outcomes
  • ๐ŸŒฑ Iโ€™m currently learning causal inference and public health policy
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on the application of satellite imagery and ML for health outcomes modeling
  • ๐Ÿ“ซ How to reach me on [email protected]

Oladimeji Mudele's Projects

amazon-satellite icon amazon-satellite

Use satellite data to track the human footprint in the Amazon rainforest

autoaugment icon autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

docker icon docker

Docker - the open-source application container engine

feature-selector icon feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

i.landsat8.swlst icon i.landsat8.swlst

Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery

ipygee icon ipygee

A set of tools for working with Google Earth Engine Python API in Jupyter notebooks

lunar-segmentation-openvino icon lunar-segmentation-openvino

An implementation of PyTorch's UNet Model for Image Segmentation and Large Rock Detection on Artificial Lunar Landscape Dataset that also works on Intel ยฎ OpenVINOโ„ข

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mcrmcr-and-mcrmicr icon mcrmcr-and-mcrmicr

Feature selection based on minimum conditional relevance and conditional redundant

mifs icon mifs

Parallelized Mutual Information based Feature Selection module.

ml-from-scratch icon 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.

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