real-lhj Goto Github PK

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

adsketch

ai-research-tools

:hammer:AI 方向好用的科研工具

aiops-2018-kpi-tsad

This repository contains many preprocessing results for AIOps-2018 contest dataset

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-aiops

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-awesome-machine-learning

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

char-rnn

A funny NLP project: multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cloud-monitoring-dataset

Public machine learning dataset for cloud monitoring

cpp-note

C++学习笔记

cs231n

Stanford University CS231n 2016 winter assignments

ctf_code

INFOCOM2021: CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer

datanetapi

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepod

Deep learning-based outlier/anomaly detection on multivariate data

demo-routenet

Demo of RouteNet in ACM SIGCOMM'19

donut

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

drain3

Drain log template miner in Python3

e-book

电子书

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exercise_code

机试代码练习

exp-anomaly-detector-aiops

Using DNN for univariate time series anomaly detection over AIOps Competition dataset

fastpfor

The FastPFOR C++ library: Fast integer compression

ft-tree

IWQoS 2017: A toolkit for log template extraction

gatrans

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

grakel

A scikit-learn compatible library for graph kernels

graph-neural-networks

Graph Neural Networks for Quantum Chemistry