Stanford Smartly Using AI-Generated Synthetic Data To Map And Unlock The Mysteries Of The Brain

AI-generated data is known as synthetic data. Such data can be used for amazing purposes. I explore a study at Stanford ...

Learning the language of lasso peptides to improve peptide engineering

In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like ...

How to Build Intelligent AI Agents in Python That Think and Adapt

Learn the essential tools and frameworks for creating intelligent AI agents that revolutionize industries and solve complex ...
GitHub

Multimodal Emotion Recognition in Conversations via Graph Structure Learning

Python 3.10.13 PyTorch 1.13.0 torch_geometric 2.5.2 torch-cluster 1.6.1 torch-scatter 2.1.1 torch-sparse 0.6.17 torch-spline-conv 1.2.2 sparsemax 0.1.9 CUDA 11.7 Train RIGSL using the MELD dataset.
IEEE

Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering

Abstract: Graph-based multiview clustering (MVC) approaches have demonstrated impressive performance by leveraging the consistency properties of multiview data in an unsupervised manner. However, ...
IEEE

Scalable Fuzzy Clustering With Collaborative Structure Learning and Preservation

Abstract: To partition samples into distinct clusters, Fuzzy C-Means (FCM) calculates the membership degrees of samples to cluster centers and provides soft labels, gaining significant attention in ...
GitHub

PasamTharun/Indian-Legal-Kag-System

The Indian Legal KAG System is an advanced AI-powered platform that combines Knowledge Augmented Generation (KAG) with constitutional law expertise to provide comprehensive legal document analysis, ...