KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

A complete list of papers on anomaly detection.

DevOps-Models is a series of industrial-first LLMs for theDevOps domain. Asking it for any question in the DevOps domain to get solution!

🦜🔗 Build context-aware reasoning applications

A machine learning compiler for GPUs, CPUs, and ML accelerators

Anomaly detection library based on singular spectrum transformation(sst)

SR-CNN

few shot learning (MAML) for time series prediction

A Python package for time series augmentation

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

Google Research

Calculates various features from time series data. Python implementation of the R package tsfeatures.

A C++ High Performance Web Server

A complete computer science study plan to become a software engineer.

高性能超轻量级C++开发库及服务器编程框架

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

An autoML framework & toolkit for machine learning on graphs.

Anomaly detection related books, papers, videos, and toolboxes

Implementation of the node2vec algorithm.

📚 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Hawkes Process Estimation

Simple Peer to Peer File Sharing System

A high performance and generic framework for distributed DNN training

An open-source framework for machine learning and other computations on decentralized data.