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State-of-the-Art Embeddings, Retrieval, and Reranking
fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
An Open-Source Package for Neural Relation Extraction (NRE)
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
🤗 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.
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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.
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Text Classification Algorithms: A Survey
Natural Language Processing Tasks and References
Facilitating the design, comparison and sharing of deep text matching models.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
A searchable compilation of Kaggle past solutions
Open standard for machine learning interoperability
A modern static resume template and theme. Powered by Jekyll and GitHub pages.
A Bootstrap 4 resume/CV theme created by Start Bootstrap
A minimal Jekyll Theme to host your resume (CV) on GitHub with a few clicks.