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coursera中Andrew Ng的meachine learning的所有编程测验的原文件
code for our EMNLP2020 paper: Multilevel Text Alignment with Cross-Document Attention by Xuhui Zhou, Nikolaos Pappas, and Noah A. Smith
Companion Code for TKDD 2022 Journal Paper: "Supervised Contrastive Learning for Interpretable Long-Form Document Matching"
All notes and materials for the CS229: Machine Learning course by Stanford University
使用Django作为开发框架,用LSTM和CNN进行情感分析
A robot powered training repository :robot:
C++实现双人对战五子棋项目
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hierarchical Attention Networks for document classification
Released code for our ICLR23 paper.
ChatOps for Ruby.
吴恩达机器学习课程的讲义,欢迎大家一起学习
Natural Language Processing Tutorial for Deep Learning Researchers
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
文本数据挖掘大作业,分别用朴素贝叶斯,SVM,情感词典,LSTM,textcnn实现情感分析
This repository contains my solutions to the assignments for Stanford's CS224n "Natural Language Processing with Deep Learning" (Winter 2021).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.