ledak's repositories
adversarial-examples
The purpose of this project is dual: primarily, to build a CNN model that can accurately classify input images from the MNIST and CIFAR10 datasets; as an extension, to create adversarial examples that can trick the CNN into mis-classifying the input.
compartmental-models
COPASI Implementation of a 6-compartment SEIARD model for the simulation of the COVID-19 pandemic.
machine-learning-chunks
Machine Learning paraphernalia; a composition of various Machine Learning problems, tasks, algorithms, implementations.
rna-folding
RNA folding; implementation of the Zuker algorithm.
arriba-y-abajo
🎨 A visualization library for downstream (or abajo-stream) investigation of gene fusion events from Arriba.
LedaKatopodi
Config files for my GitHub profile.
library-of-cheatsheets
📑 A library of example code -aka cheatsheets- for tools I use or analyses I carry out pretty often. This repo doubles as an easy way to find the code I need without going through all my scripts.
obsidian-scripts-n-snippets
💎 Repo with scripts and snippets that help me organize my Obsidian vault.
pneumonia-classification
🩺 Investigation of image processing techniques that increase the accuracy of a neural network implementation for the classification of pneumonia types.
simple-kv-database
The purpose of this project is to create a simple version of a distributed, fault-tolerant, Key-Value (KV) database (or store).
SCISSOR-fork
Shape Changes In Selecting Sample Outliers in RNA-seq
TP-residues-classifier-fork
⚗️ Classifying residues of transmembrane proteins using a custom Seq2Seq model.