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configuration center
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数据库与数据库相关的devops
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可观测相关的repopython algorithm
python做算法的一些常用库python engineering
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Stars
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
A high-performance observability data pipeline.
Fast and Lightweight Observability Data Collector
Remake of PureRef that has gif, video, and youtube support.
Stable Diffusion web UI
Model Context Protocol Servers
Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming.
DLRover: An Automatic Distributed Deep Learning System
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Nightingale is to monitoring and alerting what Grafana is to visualization.
OpenTelemetry Collector distribution with programmable pipelines
China software copyright extraction tool - 中国软件著作权代码自动提取工具
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
Deep Contrastive One-Class Time Series Anomaly Detection
HIL-based Augmented ICS (HAI) Security Dataset
Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".
☀️ A crafted Vue3 admin template | Vue Admin | Vue Template | Vue3 Admin | Vue3 Template | Vue 后台 | Vue 模板 | Vue3 后台 | Vue3 模板
[official] PyTorch implementation of TimeVQVAE-AD, a time series anomaly detection model.
MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection
Using Large Language Models for Time Series Anomaly Detection
Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction (NeurIPS 2023) https://arxiv.org/abs/2310.15416
PyTorch implementation of "Drift doesn't Matter: Dynamic Decomposition with Dffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection" (NeurIPS 2023)