Fully open reproduction of DeepSeek-R1

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

一键配置 GAMES101 作业框架及运行环境（含答案）

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

[VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis

Deep learning-based outlier/anomaly detection

lstm predictions, time series generation with vaes and encoder decoder frameworks using lstm

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

2018AIOps: The 1st match for AIOps

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

Multivariate Time Series Transformer, public version

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

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

The implement of An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection

MEMTO accepted at NeurIPS 2023

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

Anomaly detection tutorial on univariate time series with an auto-encoder

Time-Series Anomaly Detection Comprehensive Benchmark

List of papers & datasets for anomaly detection on multivariate time-series data.

An End-to-end Outlier Detection System

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！