♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台,7种角色模板,对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。
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Updated
Apr 15, 2026 - Python
♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台,7种角色模板,对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。
Package manager for things. Start designing modular hardware! PartCAD is the standard for documenting manufacturable physical products (a.k.a. Digital Thread or TDP). It comes with a set of tools to maintain product information and to facilitate efficient and effective workflows at all product lifecycle phases, boosted by AI.
A Python native dynamical system simulation framework in the block diagram paradigm.
Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.
The Modular Bridge & Linter for Robotics. Build, compose, and validate simulation-ready URDF, XACRO, and SRDF models with high-fidelity physics and MoveIt-ready automation.
万物皆可 Relic — 给灵魂开个 GitHub | Universal Digital Immortality Engine 🧬
Open-source toolkit to extract structured knowledge graphs from documents and tables — power analytics, digital twins, and AI-driven assistants.
MiroFish的免费本地运行版本 | Graphiti+Neo4j替代付费Zep | 简易便捷本地跑通
Industrial time series forecasting with Static Transformer (R²>0.9, <5ms inference)
人格蒸馏引擎 · 蒸馏自己看清自己,蒸馏亲友留住余温与回声 · Claude Code Skill
从对话数据到训练:数字分身 + 模型蒸馏 From Dialogue Data to Training Closed-Loop: Digital Twin + Model Distillation
Cloud-native BIM automation platform for generating, analyzing, and managing IFC files.
Digital twin of the University of Michigan’s Mcity Test Facility to support research and development of transportation technology, both academic and commercial.
Sintef Digital Twin
Official implementation of Neural Lithography (SIGGRAPH Asia 2023)
CLI tool for automated discovery of BPS models from event logs
Digital twins in machining process by Generative Adversarial Nets
PotoTwin Reinforcement Learning Examples
[CVPR 2023] Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds
A framework for building predictive modeling applications
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