Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Local-first privacy guard: anonymize your documents before sharing with LLMs.
| Date | Stars |
|---|---|
| 2026-07-31 | 419 |
| 2026-08-11 | 722 |
| 2026-08-12 | 722 |
| 2026-08-18 | 783 |
| 2026-08-19 | 790 |
| 2026-08-20 | 792 |
| 2026-08-21 | 797 |
| 2026-08-22 | 803 |
| 2026-08-23 | 810 |
| 2026-08-24 | 813 |
| 2026-08-25 | 820 |
| 2026-08-26 | 823 |
| 2026-08-27 | 827 |
| 2026-08-28 | 828 |
| 2026-08-29 | 829 |
| 2026-08-30 | 830 |
| 2026-08-31 | 835 |
| 2026-09-01 | 838 |
| 2026-09-02 | 842 |
| 2026-09-03 | 845 |
| 2026-09-04 | 849 |
| 2026-09-05 | 852 |
| 2026-09-06 | 853 |
| 2026-09-07 | 854 |
| 2026-09-08 | 913 |
| 2026-09-09 | 939 |
| 2026-09-10 | 952 |
| 2026-09-11 | 963 |
| 2026-09-12 | 969 |
| 2026-09-13 | 973 |
| 2026-09-14 | 980 |
| 2026-09-15 | 985 |
| 2026-09-16 | 989 |
| 2026-09-17 | 994 |
| 2026-09-18 | 1000 |
| 2026-09-19 | 1001 |
| 2026-09-20 | 1005 |
| 2026-09-21 | 1008 |
| 2026-09-22 | 1028 |
| 2026-09-23 | 1035 |
| 2026-09-24 | 1037 |
| 2026-09-25 | 1046 |
| 2026-09-26 | 1054 |
| 2026-09-27 | 1066 |
| 2026-09-28 | 1089 |
| 2026-09-29 | 1107 |
| 2026-09-30 | 1115 |
| 2026-10-01 | 1123 |
| 2026-10-02 | 1132 |
| 2026-10-03 | 1135 |
| 2026-10-04 | 1139 |
| 2026-10-05 | 1147 |
| 2026-10-06 | 1151 |
| 2026-10-07 | 1152 |
| 2026-10-08 | 1156 |
| 2026-10-09 | 1160 |
| 2026-10-10 | 1166 |
| 2026-10-11 | 1167 |
| 2026-10-12 | 1173 |
| 2026-10-13 | 1176 |
| 2026-10-14 | 1177 |
| 2026-10-15 | 1182 |
| 2026-10-16 | 1186 |
| 2026-10-18 | 1190 |
| 2026-10-19 | 1193 |
| 2026-10-20 | 1195 |
| 2026-10-21 | 1203 |
| 2026-10-22 | 1204 |
| 2026-10-23 | 1205 |
| 2026-10-24 | 1214 |
| 2026-10-25 | 1219 |
| 2026-10-26 | 1220 |
| 2026-10-27 | 1224 |
| 2026-10-28 | 1224 |
| 2026-10-29 | 1228 |
| 2026-10-30 | 1231 |
| 2026-10-31 | 1233 |
| 2026-11-01 | 1234 |
| 2026-11-02 | 1237 |
| 2026-11-03 | 1242 |
| 2026-11-04 | 1244 |
Today
+2 stars today
This week
+20 stars this week
This month
+97 stars this month
Momentum
43.0
growth rate 1.63%/day
<div align="center"> <img src="report/images/mascot_shield.png" alt="rizzo-pii mascot — a purple hedgehog guarding a document with a shield" width="180" /> # rizzo-pii ### Local, reversible PII anonymization for Italian legal text **_Use frontier models without giving up your data._** <p> <a href="https://trendshift.io/repositories/120290?utm_source=repository-badge&utm_medium=badge&utm_campaign=badge-repository-120290" target="_blank" rel="noopener noreferrer"><img src="https://trendshift.io/api/badge/repositories/120290" alt="Rizzo-AI-Academy%2Frizzo-pii | Trendshift" width="250" height="55"/></a> </p> <p> <img src="https://img.shields.io/badge/100%25-LOCAL-7c3aed?style=for-the-badge" alt="100% local" /> <img src="https://img.shields.io/badge/GDPR-BY%20DESIGN-7c3aed?style=for-the-badge" alt="GDPR by design" /> <img src="https://img.shields.io/badge/EU%20AI%20ACT-ALIGNED-7c3aed?style=for-the-badge" alt="EU AI Act aligned" /> </p> <p> <img src="https://img.shields.io/badge/params-%E2%89%880.3B-blue" alt="0.3B parameters" /> <img src="https://img.shields.io/badge/RAM-~0.5%20GB%20·%20CPU-blue" alt="0.5 GB RAM CPU" /> <img src="https://img.shields.io/badge/PII%20categories-22-blue" alt="22 PII categories" /> <img src="https://img.shields.io/badge/micro--F1-0.989-brightgreen" alt="0.989 micro-F1" /> <img src="https://img.shields.io/badge/offline-no%20API%20key-brightgreen" alt="offline, no API key" /> </p> **📄 [Read the full technical report (PDF)](report/rizzo-pii-report.pdf)** — model, dataset, method and experiments in detail <p> <a href="https://github.com/Rizzo-AI-Academy/rizzo-pii/releases/latest"><img src="https://img.shields.io/badge/⬇%20Download%20for-Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white" alt="Download for Windows" /></a> <a href="https://github.com/Rizzo-AI-Academy/rizzo-pii/releases/latest"><img src="https://img.shields.io/badge/⬇%20Download%20for-macOS-000000?style=for-the-badge&logo=apple&logoColor=white" alt="Download for macOS" /></a> <a href="https://github.com/Rizzo-AI-Academy/rizzo-pii/releases/latest"><img src="https://img.shields.io/badge/⬇%20Download%20for-Linux-FCC624?style=for-the-badge&logo=linux&logoColor=black" alt="Download for Linux" /></a> </p> <sub>🪟 **Windows installer** · 🍎 **macOS** (Apple Silicon) · 🐧 **Linux AppImage** — all available now</sub> </div> **`rizzo-pii:0.3B`** is a lightweight, CPU-friendly, **Italian-first** token-classification model (≈0.3B parameters, [mmBERT](https://huggingface.co/jhu-clsp/mmBERT-base) / ModernBERT backbone) that detects **22 categories of personal data** — including the Italian-legal identifiers (**codice fiscale**, **partita IVA**, **dati catastali**) that no other open model covers — and drives a fully **reversible** anonymization workflow: <div align="center"> 🔒 **anonymize locally** → 🏷️ **placeholder + reversible local dictionary** → ☁️ **frontier LLM** → 🔓 **restore locally** </div> It is built for law firms, accountants, notaries and anyone bound by the **GDPR** who wants to keep using ChatGPT / Claude / Gemini on sensitive documents **without ever sending the real data out**. <table> <tr> <td width="120" align="center" valign="middle"> <img src="report/images/mascot_doc.png" alt="rizzo-pii redacting a document" width="110" /> </td> <td valign="middle"> | ≈0.3B | ~0.5 GB | 22 | 0.989 | |:---:|:---:|:---:|:---:| | parameters (mmBERT-base) | RAM footprint, CPU | PII categories | micro-F1 (real IT validation) | The hedgehog mascot does one job: it grabs your document, blacks out every identifier, and **stays inside the EU** while doing it. </td> </tr> </table> --- ## The problem: convenience is leaking your data People summarize contracts, draft replies and ask legal questions simply by **pasting the document in**. It is fast and useful — and it quietly moves enormous amounts of personal and confidential data off the user's device. Names, addresses, tax codes, IBANs, health details, unsigned-co
Excerpt of 43,379 characters
Read on GitHub67
7
5
3
3
3
2
2
2
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2ac9b46f1cf0cf96, llm:Repository description: 'Local-first privacy guard: anonymize your documents before sharing with LLMs.' Topics include anonymization, gdpr, named-entity-recognition, pii, token-classification, transformers, llm, privacy.
matched fp:2ac9b46f1cf0cf96, llm:Repository description: 'Local-first privacy guard: anonymize your documents before sharing with LLMs.' Topics include anonymization, gdpr, named-entity-recognition, pii, token-classification, transformers, llm, privacy.
matched fp:2ac9b46f1cf0cf96, llm:Repository description: 'Local-first privacy guard: anonymize your documents before sharing with LLMs.' Topics include anonymization, gdpr, named-entity-recognition, pii, token-classification, transformers, llm, privacy.