ferdinand-popp's repositories
EMOGI-NSCLC
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
AGE
Adapted fromthe KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
Best-README-Template
An awesome README template to jumpstart your projects!
build-your-own-x
🤓 Build your own (insert technology here)
coding-interview-university
A complete computer science study plan to become a software engineer.
ferdinand-popp
Config files for my GitHub profile.
ferdinand-popp.github.io
Personal Webpage
graphml-tutorials
Forked: Tutorials for Machine Learning on Graphs
graphrag-biomed
COPY: A modular graph-based Retrieval-Augmented Generation (RAG) system for biomedical communication
IntegrativeVAEs
Variational autoencoders for cancer data integration
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
linear_graph_autoencoders
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
MEDS-Detection
Hackathon Q-Summit Result of Team MEDS | Detecting flawed entries in medical health records
MGAE
Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”
MMGL-NSCLC
Forked: Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)
NeoGPT-Biomedical
Context-aware knowledge-graph based chatbot using GPT4 and Neo4j
nvidia-sniper
🎯 Autonomously buy Nvidia Founders Edition GPUs as soon as they become available.
pandasgui
A GUI for Pandas DataFrames
PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
pycaret
An open source, low-code machine learning library in Python
SurvivalNet
Deep learning survival models
TCGAIntegrator
Python utilities for building integrated views of TCGA data.