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FA³ST - Fraunhofer Advanced Asset Administration Shell Tools (for Digital Twins)
국제표준 AAS(Asset Administration Shell) 기반의 제조 데이터 표준 참조모델 개발 데이터
Research code base for Automatic Textbook Formalization
Open Claude Is Open-source coding-agent CLI for OpenAI, Gemini, DeepSeek, Ollama, Codex, GitHub Models, and 200+ models via OpenAI-compatible APIs.
Repository of the Asset Administration Shell Specification IDTA-01002 API
Repository of the Asset Administration Shell Specification IDTA-01001 - Metamodel
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"
Time-Series Anomaly Detection Comprehensive Benchmark
Safety-critical controllers for single/multi robotic navigation: CBF-QP, MPC-CBF, and etc.
Official implementation of Kimodo, a kinematic motion diffusion model for high-quality human(oid) motion generation.
A collection of 130+ specialized Codex subagents covering a wide range of development use cases.
Source Codes for IJMLC paper“Improved hierarchical transformer-based multi-similarity hashing via label-guided learning for remote sensing image retrieval”
GeoAI: Artificial Intelligence for Geospatial Data
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
An official implementation of "Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection" for SPL 2024.
A list of publicly available Tuberculosis (TB) and Pneumonia chest x-ray datasets.
IDTA Submodel Templates for AAS
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
A library for scientific machine learning and physics-informed learning
Official implementation of Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data
A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
The code of our paper " Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation"
SASRec: Self-Attentive Sequential Recommendation