Hachi: An (Image) Search engine
The Hachi project is an end-to-end, fast, self-hosted semantic and metadata search engine designed to enable comprehensive search across all types of media by extracting independent information from distributed personal data. It prioritizes minimal external dependencies, hackability, and the integration of machine learning models to fuse deterministic and semantic attributes, aiming for ...
https://eagledot.xyz/hachi.md.html
The Hachi project is an end-to-end, fast, self-hosted semantic and metadata search engine designed to enable comprehensive search across all types of media by extracting independent information from distributed personal data. It prioritizes minimal external dependencies, hackability, and the integration of machine learning models to fuse deterministic and semantic attributes, aiming for ...
https://eagledot.xyz/hachi.md.html
GNN From Scratch
The article provides an introduction to Graph Neural Networks (GNNs), explaining how graphs are represented for machine learning and introducing the mathematical intuition behind GNNs. It covers key concepts such as nodes, edges, and the message-passing mechanism, helping readers understand how GNNs learn from graph-structured data.
https://cultured-avenue-f13.notion.site/GNN-From-Scratch-2a3dfe9550dd80ac87deee4fe6cd0696
The article provides an introduction to Graph Neural Networks (GNNs), explaining how graphs are represented for machine learning and introducing the mathematical intuition behind GNNs. It covers key concepts such as nodes, edges, and the message-passing mechanism, helping readers understand how GNNs learn from graph-structured data.
https://cultured-avenue-f13.notion.site/GNN-From-Scratch-2a3dfe9550dd80ac87deee4fe6cd0696
cultured-avenue-f13 on Notion
GNN From Scratch | Notion
A blog on decyphering the original GNN paper