An experimentation framework that assesses how well graph neural networks (GNN) can minimize various attributed graph functions on the node domain. read more of Universal Minimization on the Node Domain

Retrieval Augmented Generation (RAG) is taking LLMs to the next level in terms of grounding and data retrieval. However, The current AI landscape is likely the fastest evolving field of science in human history and only the most dedicated professionals ar... read more of Data Conversations Made Easy: Build-my-RAG

FasterAI is an open-source library dedicated to optimizing AI models through advanced compression techniques like pruning, quantization, and knowledge distillation, ensuring they remain lightweight and efficient without sacrificing accuracy. It supports a... read more of FasterAI

This recurrent neural network model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SH... read more of GRU + SHAP - Explainable Predictive Maintenance for Irregular Multivariate Time Series

This regression model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SHAP library. read more of Facebook Prophet + SHAP - Explainable Predictive Maintenance for Regular Multivariate Time Series

Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion read more of Lightweight Face Detectors

This app identifies whether an audio file is synthetic or real and uses GradCAM saliency maps to visualize the key audio features that influenced its classification. read more of Audio Deepfake Detection with GradCam Saliency Map Explainability

An information flow-preserving knowledge distillation methodology for model compression. read more of InDistill

Retrieving algorithm component combinations from online (or local) yaml resources. read more of yamlres

Provides a framework for learning text-driven generative paths in pre-trained GANs. read more of ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences