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An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0
Pytorch implementation of LSTM/BERT-CRF for named entity recognition
(Linear-chain) Conditional random field in PyTorch.
A PyTorch implementation of the BI-LSTM-CRF model.
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.
✨Fast Coreference Resolution in spaCy with Neural Networks
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
An Open-Source Package for Neural Relation Extraction (NRE)
Core Data of HowNet and OpenHowNet Python API
State-of-the-Art Text Embeddings
Used to determine if a twitter account/tweet is a trollbot or not.
Simple WBF example.
This repo hosts a set of Windows UWP sample code to illustrate the use of Companion Device Framework, a new feature in Windows 10, enabling developers to build UWP apps to unlock Windows 10 PCs. Mo…
提供多款 Shadowrocket 规则，带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。
Graph Neural Network Library for PyTorch
Extensible memoizing collections and decorators
Python bindings for the UnQLite embedded NoSQL database
镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts