New to Google Cloud? Get $300 in free credit to explore Compute Engine, BigQuery, Cloud Run, Vertex AI, and 150+ other products.
Start your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
Start Free Trial
Gemini 3 and 200+ AI Models on One Platform
Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.
Build generative AI apps with Vertex AI Studio. Switch between models without switching platforms.
Make AsciiDoc part of your literate programming tool set. With eWEB you can weave and tangle literate programs written as AsciiDoc documents, using embedded WEB code snippets.
This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
Not a search engine but navigation routes within a research domain.
The Centre d'Informations (CI) aim is to articulate and display whatever type of knowledge available on a given field (see screenshots examples for various fields).
The software is built as a network of information articulated using concepts (figure). The website should not be understood as a conventional search engine but as different ways to navigate within this knowledge (information and concept) network.
Each information is thoroughly formalized; the aim is not exhaustivity or information amount but rather information quality so as to ensure the best possible articulation within the existing network (quality of the network) and ensure the subject diversity so as to cover the field with robustness.