chinahappyking's repositories
gptpdf
Using GPT to parse PDF
superduper
🔮 SuperDuper: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
GPTs
leaked prompts of GPTs
search_with_lepton
Building a quick conversation-based search demo with Lepton AI.
ItChat
A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
TranAD
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
hipstershop
Sample cloud-native application with 10 microservices showcasing Kubernetes, gRPC instrumentation with different technologies
opni
Observability + AIOps for Kubernetes
centreon
Centreon is a network, system and application monitoring tool. Centreon is the only AIOps Platform Providing Holistic Visibility to Complex IT Workflows from Cloud to Edge.
StreamAD
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
train-ticket
Train Ticket - A Benchmark Microservice System
luminol
Anomaly Detection and Correlation library
MyPerf4J
High performance Java APM. Powered by ASM. Try it. Test it. If you feel its better, use it.
tsfresh
Automatic extraction of relevant features from time series:
Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
CVDD-PyTorch
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
OmniAnomaly
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Metis
Metis is a learnware platform in the field of AIOps.
SwissLog
The implementation of SwissLog in ISSRE'20
perfmark
PerfMark is a High Performance Tracing Library.
pyodds
An End-to-end Outlier Detection System
DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
CVPR2022-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
aiops-competition-solutions
鱼丸粗面参加的阿里云 && PAKDD AIOps挑战赛系列解决方案、答辩文档、代码