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📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Using Sentiment Analysis to detect the sentiment of tweets using the "NLTK" library.
'Brilliantly wrong' blog, Machine Learning visualizations live here
Tools for collecting papers from arXiv.org
A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.
A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
Source code for RANLP'2019 paper "Distant Supervision for Sentiment Attitude Extraction"
Author attribution analysis using n-gram convolutional neural networks and support vector machines.
Code and data for author identification on Hindi texts.
Comparison of deep neural network architectures for authorship attribution of russian social media texts
NLTK and Scikit-Learn: Text preprocessing (including Lemmatization), feature extraction (Bag-of- words, Part-of-Speech tag, Vocabulary richness, domain specific), feature tuning via Pipeline, Machine learning predictor (cross-validated SVM)
Authorship Attribution with Feature Abstraction and Discourse
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
A distributed knowledge graph store
TensorFlow code and pre-trained models for BERT
ACL2019论文实现《Matching the Blanks: Distributional Similarity for Relation Learning》
In this project, I predicted the price variations of bitcoin, a virtual cryptographic currency. The predictions could be used as the foundation of a bitcoin trading strategy. To make the predictions I used the machine learning technique of Bayesian Regression for Latent Source Model, and implemented this technique in Python.
My final year project title Automatic Segregation of Questions Into the Levels of Bloom's Taxonomy
In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.
Examples
chakki's Aspect-Based Sentiment Analysis dataset
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.