nmamie Goto Github PK

12daysofchristmas

asvz-bot

ASVZ Bot to enroll to lessons. Get a place when the registration opens or when a place gets free. Works for ETH, UZH and ZHAW students.

atmt_2023

Materials for the first assignment of "Advanced Techniques of Machine Translation" @UZH (Autumn 2023).

chatbot

This project was about creating a chatbot that is able to converse with humans about the topic of movies.

checkers-java

A simple command line checkers game implemented in Java. Originated as an AP CS project.

data-visualization

development-of-a-quality-label-for-sustainable-ai

This project aims at defining possible criteria to design a quality label for sustainable AI.

digraph_transformer

dnn-watermarking

This repository was created as an implementation approach for a project on "Watermarking Deep Neural Networks".

eth-cs-notes

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

flask-webapplication

gpt-swarm

GPT-Swarm is an open-source project that harnesses the power of swarm intelligence to enhance the capabilities of state-of-the-art language models. By leveraging collective problem-solving and distributed decision-making, GPT-Swarm creates a robust, adaptive, and scalable framework for tackling complex tasks across various domains.

graph-transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

kg-nobel-laureates

Machine Learning (ML) algorithms need data in the form of feature vectors and class labels to come up with a trained model and predict new instances with that trained model. Data stored in Knowledge Graph(s) (KG) is in the form of triples. To apply ML algorithms on KG, we need to convert the individuals in the learning problem into feature vectors.

kgreasoning

Multi-Hop Logical Reasoning in Knowledge Graphs

ldmlp

Long-range Dependency based Multi-Layer Perceptron for Heterogeneous Information Networks

ml4h_project1

ncml

nmamie.github.io

My own webpage (currently under construction)

pshgcn

py_pushover_simple

a very simple python pushover wrapper

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

query2box

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings

relu_kan

rlatari

sehgnn

semopenalex