zhangjianweibj
Software Engineer @ inspur. Life seems but a quick succession of busy nothings
inspurjinan
zhangjianweibj's Stars
vectordotdev/vector
A high-performance observability data pipeline.
gojue/ecapture
Capturing SSL/TLS plaintext without a CA certificate using eBPF. Supported on Linux/Android kernels for amd64/arm64.
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
microsoft/ethr
Ethr is a Comprehensive Network Measurement Tool for TCP, UDP & ICMP.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
cloud-hypervisor/cloud-hypervisor
A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.
bbycroft/llm-viz
3D Visualization of an GPT-style LLM
cilium/tetragon
eBPF-based Security Observability and Runtime Enforcement
cilium/hubble
Hubble - Network, Service & Security Observability for Kubernetes using eBPF
deepflowio/deepflow
eBPF Observability - Distributed Tracing and Profiling
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
keras-team/keras-io
Keras documentation, hosted live at keras.io
kevin2li/PDF-Guru
PDF Guru Anki是一款以PDF为中心的多功能办公学习工具箱软件,包含四大板块功能:PDF实用工具箱、Anki制卡神器、Anki最强辅助、视频笔记神器,软件功能众多且强大,熟练运用可以大幅提高办公和学习效率,绝对是您不可多得的效率神器。人生苦短,我用Guru!
AliyunContainerService/log-pilot
Collect logs for docker containers
DjangoPeng/openai-quickstart
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
QData/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
NetManAIOps/OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
cloudnativeto/academy
云原生社区资料库
d0ng1ee/logdeep
log anomaly detection toolkit including DeepLog
rancher/opni
Multi Cluster Observability with AIOps
XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
bitzhangcy/Deep-Learning-Based-Anomaly-Detection
longhorn/kbench
Benchmark your Kubernetes storage.
thuml/SimMTM
About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861
vod3166/3ATV
3ATV影院
cocalele/PureFlash
A ServerSAN storage system designed for flash device
NetManAIOps/DejaVu
Code and datasets for FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems"
aleskandro/go-prometheus-backfiller
A Golang Prometheus back-filling library