https://github.com/darkmastercello/first-project
this is a repository containing my first IP. The IP is about the english premier league and its origin
https://github.com/giorginolab/mdcath
This repository houses all the scripts and notebooks utilized for generating, analyzing, and validating the mdCATH dataset. Some user examples are also available.
https://github.com/darkmastercello/neural-network-hyperparameters-test
This notebook shows how I tried different keras neural network hyperparameters to see how they work and to gain more familiarity with them using the california housing data
https://github.com/darkmastercello/myafrilib
It is not an ordinary book app. Most book apps such as AnyBooks have majority of writers being white. As a bookworm, I have struggled getting books from writers of African-origin. Most of them are in Amazon and they are super expensive. Therefore, AfriLib will focus on African-origin writers and their work.
https://github.com/camels-de/camels_dem
Repository to process DEM data for CAMELS-DE stations and catchments.
https://github.com/darkmastercello/data-ethics-project
This Notebook explores fairness in machine learning models using the Fairlearn library. It includes data preprocessing, model training (Logistic Regression), and fairness evaluation using metrics like demographic parity ratio and demographic parity difference.
https://github.com/darkmastercello/lst_bnn
Predicting Land Surface Temperature Using Bayesian Neural Network
https://github.com/camellia-hz/openpcddet-annotated-pointrcnn
对OpenPCDdet框架中PointRCNN代码进行详细注释
https://github.com/darkmastercello/my-first-website
this is a demo website i made.
https://github.com/darkmastercello/keras-autoencoder
This notebook implements a deep autoencoder with TensorFlow/Keras to compress and reconstruct handwritten digits from the MNIST dataset. I also extend the autoencoder to remove noise from corrupted MNIST images, demonstrating model robustness.
https://github.com/darkoradakovic/a-deep-learning-based-approach-for-mapping-shrubs-in-arctic-tundra-from-very-high-resolution-imagery
preprocessing scripts, trained model weights, and representative datasets for reproducibility of the manuscript
https://github.com/dhsorens/lean-lc3
A Proof System in Lean for LC3 Programs (In Progress)
