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mall学习教程,架构、业务、技术要点全方位解析。mall项目(60k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot、MyBatis、Elasticsearch、RabbitMQ、Redis、MongoDB、MySQL等技术,采用Docker容器化部署。
Thymeleaf "extras" integration module for Spring Security 3.x and 4.x
⭐️一款好用又强大的开源社区,基于 Spring Boot、MyBatis-Plus、MySQL、Redis、ElasticSearch、MongoDB、Docker、RabbitMQ 等主流技术栈,附详细教程,包括Java、Spring、MySQL、Redis、微服务&分布式、消息队列等核心知识点。学编程,就上技术派😁。
Baseline method for sound event localization task of DCASE 2022 challenge
You can find the speech algorithms you want here
JAMS annotation files for the original and augmented UrbanSound8K dataset
Classification of Environment Sound using CNN and ImageDataGenerator
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
Code for the paper "Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks".
Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection winning method.
Repo associated to the DESED dataset, download and creation of data
This is the PyTorch implementation of the Universal Source Separation with Weakly labelled Data.
Code for Discriminative Sounding Objects Localization (NeurIPS 2020)
[ECCV 2022] & [IJCV 2024] Official implementation of the paper: Audio-Visual Segmentation (with Semantics)
A faster pytorch implementation of faster r-cnn
A feature-rich command-line audio/video downloader
Script for converting the pretrained VGGish model provided with AudioSet from TensorFlow to PyTorch, along with a basic smoke test.
3D ResNets for Action Recognition (CVPR 2018)
Pytorch port of Google Research's VGGish model used for extracting audio features.
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Java相关知识总结,包括Java基础、MySQL、Springboot、mybatis、Redis、rabbitMQ等等,面试必备!
mini-spring是简化版的spring框架,能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑,代码极度简化,保留spring的核心功能,如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。