ripankundu

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

adversarial-attacks

Adversarial attacks - Time-Series data - LSTM - Regression - Classification

araucana-xai

Tree-based local explanations of machine learning model predictions

court-of-xai

Court of XAI - A Python library for the systematic comparison of feature additive explanation methods.

Determining-the-position-of-a-virtual-reality-device-find-the-accurate-position-

To track the orientation of the sensor using rotation vector to get the relative orientation of the sensors

differentially_private_synthetic_data

Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

EquiBind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

Master-thesis-work

1Lehrst ̈uhle des Instituts f ̈ur Elektrische EnergietechnikInstitut f ̈ur Elektrische EnergietechnikFakult ̈at f ̈ur Informatik und ElektrotechnikUniversit ̈at RostockMasterarbeit on the subject ofINVESTIGATING EVENTS AND ANOMALY DETECTION FORCYBER-PHYSICAL POWER SYSTEM USING ARTIFICIALINTELLIGENCE

Multiclass-classification-of-smart-grid-fault-using-Convolutional-Neural-Networks-CNN-

This project include different Convolutional Neural Networks (CNN) architecture including (Resnet, Inception, NasNetLarge, VGG16 & 19)

Sensor-fusion-based-on-filtering-technique

Investigation different methods to fuse data from different sensor like Gyroscope, Accelerometer, Magnetometer for sensor fusion algorithm

ripankundu/Master-thesis-work

1Lehrst ̈uhle des Instituts f ̈ur Elektrische EnergietechnikInstitut f ̈ur Elektrische EnergietechnikFakult ̈at f ̈ur Informatik und ElektrotechnikUniversit ̈at RostockMasterarbeit on the subject ofINVESTIGATING EVENTS AND ANOMALY DETECTION FORCYBER-PHYSICAL POWER SYSTEM USING ARTIFICIALINTELLIGENCE

ripankundu/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ripankundu/araucana-xai

Tree-based local explanations of machine learning model predictions

ripankundu/court-of-xai

Court of XAI - A Python library for the systematic comparison of feature additive explanation methods.

ripankundu/differentially_private_synthetic_data

Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

ripankundu/EquiBind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

ripankundu/Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project

This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data (satellite t

ripankundu/insure-cow

ripankundu/Scaleable-Computing-project-work

Edge Detection by applying Stencil code on Image

ripankundu/GEAR

Gaze-enabled Augmented Reality

ripankundu/Interpretability

Resources for Machine Learning Explainability

ripankundu/InterpretTime

Implementation of the InterpretTime framework

ripankundu/iSeeExplainerLibrary

ripankundu/ldp-fairness-impact

Repository for the DBSec 2023 paper "(Local) Differential Privacy has NO Disparate Impact on Fairness"

ripankundu/ldp-protocols-mobility-cdrs

Implementation of local differential privacy mechanisms in Python language.

ripankundu/LLM_Explainer

Code for paper: Are Large Language Models Post Hoc Explainers?

ripankundu/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries

This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).

ripankundu/nn_interpretability

Pytorch implementation of various neural network interpretability methods

ripankundu/PRECYSE

ripankundu/pymovements

A python package for processing eye movement data

ripankundu/smartnoise-samples

Code samples and documentation for SmartNoise differential privacy tools

ripankundu/SoK-Security

Repository for Euro S&P submission "SoK: Modeling Explainability in Security Monitoring for Trust, Privacy, and Interpretability"

ripankundu/SoundnessXAI

Source code of the paper "On the Soundness of XAI in Prognostics and Health Management (PHM)".

ripankundu/SPAA

[IEEE VR'22] SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers

ripankundu/time-series-analysis

Collection of notebooks for time series analysis

ripankundu/UnRAvEL

Official implementation of Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability.

ripankundu/WDP

ripankundu/wearable-data-privacy

Investigating the privacy inherent to publicly available, anonymized datasets of wearable data (mainly time-series and daily/hourly physiological data, such as activity, EKG, etc.). Exploration of differentially privacy solutions.

ripankundu/xplique

👋 Xplique is a Neural Networks Explainability Toolbox

ripankundu/Xreal-ARCore6DoF

For XR project