data-to-paper supports traceable AI driven scientific research from data.
Open source
24 alternativesHow do opensource and Awesome Fraud Detection Papers compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | opensource | Awesome Fraud Detection Papers |
|---|---|---|
| What it is | STORM - An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. | This repository curates data mining research papers focused on fraud detection. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both opensource and Awesome Fraud Detection Papers.
data-to-paper supports traceable AI driven scientific research from data.
BlockAGI provides a self hosted research agent inspired by AutoGPT for exploring topics.
GPT Researcher conducts deep research across data sources using large language models.
A curated list of Monte Carlo tree search papers with implementations.
Microsoft Recommenders collects best practices for recommendation systems.
OpenLens AI provides a multimodal agent for conducting scientific research.