A Chrome Extensions boilerplate using React 18 and Webpack 5.

🚀 ice.js: The Progressive App Framework Based On React（基于 React 的渐进式应用框架）

React draggable component

🎮 A 3D WebGL Rendering Engine

A trello clone built with React sortableJS

React bindings for SortableJS

使用react 和 sortablejs 实现的页面拖拽Demo

Official electron build of draw.io

Alibaba Java Coding Guidelines pmd implements and IDE plugin

我是依扬（木易杨），公众号「高级前端进阶」作者，每天搞定一道前端大厂面试题，祝大家天天进步，一年后会看到不一样的自己。

📚 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

📝 Frontend Tech List for Developers 💡

微信小程序车牌号输入键盘、输入框

How to detect emotions from speech using Bi-directional LSTM networks and attention mechanism in Keras.

A wrapper layer for stacking layers horizontally

Attention mechanism for processing sequential data that considers the context for each timestamp.

Deep Bi-LSTM, CNN and attention layer classifier for emotion detection from text

CNN-LSTM based SER model using RAVDESS database

BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN,…

Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

A bidirectional LSTM with attention for multiclass/multilabel text classification.

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

Deep Learning for humans

Simple speech emotion recognition (FC, GRU, LSTM) using RAVDESS dataset

🔉 spafe: Simplified Python Audio Features Extraction

Noise15 , Noisex-92 and Nonspeech

Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'