
─── team / organization
NillionNetwork
@NillionNetwork
─── top repos · by stars
─── repositories
30 / 71Minimal pure-Python implementation of a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.
⛔️ DEPRECATED – See https://github.com/NillionNetwork/create-nillion-app instead.
Curated list of examples, tools, contracts, and projects built with Nillion
⛔️ DEPRECATED – See https://github.com/NillionNetwork/create-nillion-app instead.
nilAI is the core offering of Nillion SecretLLM a TEE-based AI inference service.
Pure-Python implementation of a threshold ecdsa signature scheme based on a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.
nilDB is the Nillion blind module that supports the SecretVault & SecretDataAnalytics SDKs.
Nada-AI is a Python library designed for ML/AI on top of Nada DSL and Nillion Network.
examples using SecretVault, SecretLLM, and SecretSigner (SDKs built on Nillion blind modules)
TypeScript library for working with encrypted data within nilDB queries and replies.
Minimal pure-Python library that implements a basic version of a secure decentralized biometric authentication functionality via a secure multi-party computation protocol.
AIVM is a cutting-edge framework designed for privacy-preserving inference using advanced cryptographic protocols. With AIVM, you can deploy a local development network (devnet) to explore private inference using provided examples or custom models.
Ripple: Accelerating Programmable Bootstraps for FHE with Wavelet Approximations
Nada-Numpy is a Python library designed for algebraic operations on NumPy-like array objects on top of Nada DSL and Nillion Network.
Learn the Nada language by working with example Nada programs
A set of tools for interacting with Nillion's Private Storage
Python library for working with encrypted data within nilDB queries and replies.
This repository contains the Proof of Concept (PoC) for running Federated Learning on top of Nillion. It consists of two main components: a Server and a Client.
Data structures and functionalities for the Nillion Network user identity and authorization framework.
─── top contributors

n1474335
2,166 commits

tim-hm
1,202 commits

domenkozar
1,201 commits

lalalune
783 commits

oceans404
767 commits

HeesungB
665 commits

survived
594 commits

Zygimantass
569 commits

shakkernerd
518 commits

crypblizz8
505 commits

jcabrero
481 commits

mcp97
371 commits

lapets
357 commits

j433866
329 commits

psofiterol
302 commits

ponderingdemocritus
285 commits

nikita-dfns
242 commits

odilitime
240 commits

d98762625
230 commits

liangping
227 commits
─── ecosystems
─── languages
- Python28
- TypeScript11
- JavaScript6
- Rust4
- HTML3
- Solidity2
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