[ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series

自己的学习笔记。包含：个人秋招经历、🐂客面经问题按照频率总结、Java一系列知识、数据库、分布式、微服务、前端、技术面试、每日文章等(持续更新)

课程编排系统，培训机构（高中）排课系统Java + Springboot2.x + MyBatis-Plus + MySQL 8.x + Vue

一个排课管理、统计系统，可批量排课、导出课表。

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

End-to-End Object Detection with Fully Convolutional Network

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.

Centralized Feature Pyramid for Object Detection

Code release for ConvNeXt V2 model

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

大数据入门指南 ⭐

🎨 Simplistic, responsive jekyll based open source theme

一个一站式yolov8整合包

A PCB defect dataset.

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Google Research

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

Deep learning PyTorch library for time series forecasting

Multiwavelets-based operator model

A Library for Advanced Deep Time Series Models.

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift