soroushzargar

lilcom

Small compression utility

acm

acm problems solutions

ACM-practice

This repo is made to hold my acm practice files

adversarial_training_adapted

Adapted from saper0 (Lukas Gosch): Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.

baseline-gnn-setups

My baseline setups for GNN tasks; including data and models

CAS

CDF-aware conformal prediction sets. The implementations from the paper "Robust Yet Efficient Conformal Prediction Sets".

conformal-node-classification

Conformal prediction for node classification (both transductive and inductive settings).

DAPS

Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"

fractional-Fourier-Transform

Short Time Fractional Fourier Transform

TorchGNN-Utils

Utility Methods and Classes for Working with Graph Neural Networks

soroushzargar/DAPS

Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"

soroushzargar/fractional-Fourier-Transform

Short Time Fractional Fourier Transform

soroushzargar/conformal-node-classification

Conformal prediction for node classification (both transductive and inductive settings).

soroushzargar/acm

acm problems solutions

soroushzargar/ACM-practice

This repo is made to hold my acm practice files

soroushzargar/adversarial_training_adapted

Adapted from saper0 (Lukas Gosch): Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions" paper.

soroushzargar/baseline-gnn-setups

My baseline setups for GNN tasks; including data and models

soroushzargar/CAS

CDF-aware conformal prediction sets. The implementations from the paper "Robust Yet Efficient Conformal Prediction Sets".

soroushzargar/efficient_discrete_robustness

An Implementation of the paper "Efficient Robustness Certificates for Discrete Data"

soroushzargar/GNNTools

Ready to use models and methods needed for GNN experiments with pytorch

soroushzargar/isoperimetric-clustering

Clustering Based on Isoperimetric Number

soroushzargar/logos-archontas

a toolkit for speech enhancement experiments

soroushzargar/micro-lab-project

A micro controller that receives data from sensors and do sth

soroushzargar/TorchGNN-Utils

Utility Methods and Classes for Working with Graph Neural Networks

soroushzargar/my_cv

soroushzargar/PyGConformal

Implementation of the diffusion and conformal prediction procedure propose in paper "Conformal Prediction Sets for Graph Neural Networks"

soroushzargar/sample-nn-inference

A C++ implementation of Neural Network Inference Phase

soroushzargar/torch-cp

Conformal Prediction for Images, tabular data, and Graphs

soroushzargar/yapAIAssesment

Including result of assessment given by YapAiTek