Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

An Open-Source Framework for Prompt-Learning.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

巨硬的NumPy

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Open Framework for Aspect-based Sentiment Analysis

The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

Reading list of aspect-based sentiment analysis.

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

【PyTorch】手把手教你跑通第一个神经网络

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

一份中文综述文章列表（自然语言处理&机器学习）

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

✍ An excellent open source blog publishing application. | 一个优秀的开源博客发布应用。

V部落，Vue+SpringBoot实现的多用户博客管理平台!

Review, theoretical analysis and implementation of classic Machine Learning methods

⏬ Dumb downloader that scrapes the web

The public state-of-the-art methods for deep learning based ASC

Picture Selector Library for Android or 图片选择器

智慧农业安卓客户端

Sample Anroid app for image classification using a TensorFlow model exported from Microsoft Cognitive Services Custom Vision

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）