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A WEKA package for analyzing emotion and sentiment of tweets.
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
吴恩达老师的机器学习课程个人笔记
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
My completed implementation solutions for CS224N 2019
Complete solutions for Stanford CS224n, winter, 2019
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Two-Stage Difference-in-Differences following Gardner (2021)
LaTeX files for the Deep Learning book notation
Libraries for draw.io
R package for computing Utterance Emotion Dynamics
Facebook AI Research Sequence-to-Sequence Toolkit
Accounting Fraud Detection Using Machine Learning
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Convert HTML to Markdown-formatted text.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Master in Data Science Final Project
Diagrams of neural networks (NN, DNN, CNN, RNN, LSTM, JANET, etc.) made in latex.
Andrew Ng机器学习对应Python Jupyter Notebook
Python code for common Machine Learning Algorithms
Resources for "Natural Language Processing" Coursera course.
This repository contains the software used in the paper "The Natural Selection of Words: Finding the Features of Fitness" (see natural-selection-of-words.pdf).
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.