GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
GitHub

SDK for Hyperliquid API trading with Python.

[Optional] Generate a new API key for an API Wallet See examples for more complete examples. You can also checkout the repo and run any of the examples after ...
IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
IEEE

A Multi-Graph Attention Spatial-Temporal Graph Convolutional Network (MGA-STGCN) for AHP Risk Forecasting

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...