İrem's Projects
The repository contains Python implementation of core next-generation sequencing analysis algorithms.
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
AI class 2022 practical sheet solutions written by my team.
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
Material for Deep Learning for Drug Discovery Seminar, including my reports.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Image captioning using affordance predictions.
Config files for my GitHub profile.
The website for my resume and blog
Lab Materials for MIT 6.S191: Introduction to Deep Learning
The Java scripts that I wrote for homeworks
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems
Learn how to responsibly deliver value with ML.
Code repository for neural networks class assignments teached at Saarland University, winter 2022.
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Robostness applications in machine learning
Material used for TA sessions of the single-cell bioinformatics course offered in Winter 2022 Semester at Saarland University.
The project assignments written by me for the SE course at Saarland University 2022
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Training requirements for joining projects