13 packages matching “desci”
@desci-labs/desci-models
v0.2.29-rc1 · 10 months ago
Data models for DeSci Nodes
No known vulnerabilities
@desci-labs/desci-contracts
v0.2.7 · 1 year ago
Smart contracts implementing DeSci Nodes on-chain state and logic
No known vulnerabilities
desci
v1.0.0 · 2 years ago
A package for doing DeSci research
No known vulnerabilities
@desci-labs/nodes-lib
v0.2.3 · 4 months ago
Stand-alone client library for interacting with desci-server
No known vulnerabilities
@desci-labs/frontend-components
v1.1.7 · 9 months ago
A library for commonly used components on the DeSci Frontend web apps
No known vulnerabilities
@desci-labs/desci-codex-composedb
v2.0.2 · 2 years ago
ComposeDB models and scripts for Codex
No known vulnerabilities
peptoma-mcp
v0.1.6 · 3 months ago
Official PEPTOMA MCP server — connect any AI agent to the PEPTOMA open DeSci peptide research platform
No known vulnerabilities
peptoma-sdk
v0.1.3 · 3 months ago
Official TypeScript SDK for the PEPTOMA open DeSci peptide research platform
No known vulnerabilities
@desci-labs/desci-codex-lib
v2.0.0-rc9 · 4 months ago
Codex interaction primitives
No known vulnerabilities
@desci-labs/desci-codex-models
v1.0.0-rc3 · 1 year ago
Model definitions and management for CODEX
No known vulnerabilities
@ac635783796/ai-qnrr68
v1.0.0 · 3 months ago
<h3>什么是去中心化机器学习?</h3> <p>在传统人工智能领域,机器学习模型通常依赖集中式服务器和大量用户数据来训练。然而,这种模式面临数据隐私泄露、单点故障风险以及高昂的计算成本等问题。<strong>去中心化机器学习</strong>通过区块链技术和分布式网络,将模型训练过程分散到多个节点上,每个节点仅使用本地数据参与训练,而无需将原始数据上传至中央服务器。这种方法不仅保护了用户隐私,还
No known vulnerabilities
mcp-poi
v1.0.2 · 1 year ago
MCP server that prepares Proof of Invention (POI) transaction requests for submission
No known vulnerabilities
@peptiderx/atl-verifier
v0.2.0-experimental.3 · 3 months ago
EXPERIMENTAL · client-side verifier for ATL commit-reveal, Merkle roots, state roots, and the Peptide Design Attestation (PDA) protocol. Cross-language byte-identical with the Python and Rust reference implementations on the three frozen test vectors. Act
No known vulnerabilities