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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

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

gear

Gaze-enabled Augmented Reality

insure-cow

interpretability

Resources for Machine Learning Explainability

interprettime

Implementation of the InterpretTime framework

iseeexplainerlibrary

ldp-fairness-impact

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

ldp-protocols-mobility-cdrs

Implementation of local differential privacy mechanisms in Python language.

llm_explainer

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

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).

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

motion-sickness-in-virtual-reality

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)

nn_interpretability

Pytorch implementation of various neural network interpretability methods

pymovements

A python package for processing eye movement data

scaleable-computing-project-work

Edge Detection by applying Stencil code on Image

sensor-fusion-based-on-filtering-technique

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

smartnoise-samples

Code samples and documentation for SmartNoise differential privacy tools

sok-security

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

soundnessxai

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

spaa

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

sprint_gan

Privacy-preserving generative deep neural networks support clinical data sharing

time-series-analysis

Collection of notebooks for time series analysis