Stars
[ICML 2025] Official repository of the TQNet paper: "Temporal Qu 10000 ery Network for Efficient Multivariate Time Series Forecasting". This work is developed by the Lab of Professor Weiwei Lin (linww@scu…
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
The code repository for paper: "iTFKAN: Interpretable Time Series Forecasting with Kolmogorov–Arnold Network"
Energy-based Source-Free domain adaptation method for rotating machinery fault diagnosis
[IEEE TII] Balancing Discrepancy and Consistency: Adversarial Single Domain Generalization in Fault Diagnosis
A Novel Patch-Based Transformer for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
A foundation model for Fault diagnosis from bearing data
Implementation of "YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception".
thieu1995 / AutoAgent
Forked from HKUDS/AutoAgent"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
FaultGAT: Graph Attention-Based Approach for Intermittent Fault Diagnosis in Multiprocessor Systems
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
🦜🔗 Build context-aware reasoning applications
GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network
Streamlit — A faster way to build and share data apps.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
This repository contains state-of-the-art (SOTA) implementations for rolling bearing fault diagnosis, achieving superior performance on standard benchmarks. Our models demonstrate exceptional accur…
Aegis is an LLM-powered AI cluster autonomous operations system, focused on intelligent capabilities such as Fault Diagnosis, Self-healing, Root Cause Analysis, Cluster Inspection, and Alert Optimi…