Pinned Repositories
deconvR
The deconvR is an R package designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model.
multiomics_vs_panelseq
The repo of the "Multi-omics alleviates the limitations of panel-sequencing for cancer drug response prediction" manuscript
ALSA
The repository contains Python implementation of core next-generation sequencing analysis algorithms.
ArchR
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
Artificial-Intelligence-Applications
AI class 2022 practical sheet solutions written by my team.
cornell-cs5785-2021-applied-ml
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
LLMRS
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems
neural-networks
Code repository for neural networks class assignments teached at Saarland University, winter 2022.
scBioinfoCourse
Material used for TA sessions of the single-cell bioinformatics course offered in Winter 2022 Semester at Saarland University.
igunduz's Repositories
igunduz/scBioinfoCourse
Material used for TA sessions of the single-cell bioinformatics course offered in Winter 2022 Semester at Saarland University.
igunduz/ALSA
The repository contains Python implementation of core next-generation sequencing analysis algorithms.
igunduz/ArchR
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
igunduz/Artificial-Intelligence-Applications
AI class 2022 practical sheet solutions written by my team.
igunduz/cornell-cs5785-2021-applied-ml
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
igunduz/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
igunduz/DLDD
Material for Deep Learning for Drug Discovery Seminar, including my reports.
igunduz/handson-ml2
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.
igunduz/hlcv-project
Image captioning using affordance predictions.
igunduz/igunduz
Config files for my GitHub profile.
igunduz/igunduz.github.io
The website for my resume and blog
igunduz/LLMRS
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems
igunduz/neural-networks
Code repository for neural networks class assignments teached at Saarland University, winter 2022.
igunduz/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
igunduz/JavaProjects
The Java scripts that I wrote for homeworks
igunduz/MadeWithML
Learn how to responsibly deliver value with ML.
igunduz/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
igunduz/RML
Robostness applications in machine learning
igunduz/SoftwareEngineering
The project assignments written by me for the SE course at Saarland University 2022
igunduz/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
igunduz/training-requirements
Training requirements for joining projects