Aspect Based Sentiment Analysis 基于方面的细粒度情感分析

Semeval-2016 task 5: Aspect based sentiment analysis. Arabic Dataset for Hotels reviews.

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

Bootstrap Kubernetes the hard way. No scripts.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.

Code for the paper "Jukebox: A Generative Model for Music"

Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.

Download market data from Yahoo! Finance's API

Automated auditing, performance metrics, and best practices for the web.

📚 A GoodReads.com Scraper script to get books reviews including text and rating.

Crawls and scrapes LibraryThing

Style and Grammar Checker for 25+ Languages

A formatter for Python files

A python module to process data for Frame Semantic Parsing

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

FC-DenseNet in PyTorch for Semantic Segmentation

Deeplab-resnet-101 in Pytorch with Jaccard loss

Lyric scraper based on py-lyrics, updated for Python 3

The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.

Simple web service providing a word embedding model

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

TensorFlow code and pre-trained models for BERT

Pre-trained ELMo Representations for Many Languages

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Machine learning, computer vision, statistics and general scientific computing for .NET