fulQuan's repositories
adapter-transformers
Huggingface Transformers + Adapters = ❤️
awesome-knowledge-graph
整理知识图谱相关学习资料
awesome_Chinese_medical_NLP
中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
badger
Fast key-value DB in Go.
BanditPAM
BanditPAM (arxiv.org/abs/2006.06856) C++ implementation and Python package
BERT-pytorch
Google AI 2018 BERT pytorch implementation
biaffine-ner
Named Entity Recognition as Dependency Parsing
chinese-pdf-ocr
🔎📖对中文PDF进行OCR | OCR for Chinese PDF file using API from DayBreak-u/chineseocr_lite
Co-Action-Network
Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
DeepIE
DeepIE: Deep Learning for Information Extraction
DeepNER
天池中药说明书实体识别挑战冠军方案；中文命名实体识别；NER; BERT-CRF & BERT-SPAN & BERT-MRC；Pytorch
DiagnoseRE
Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"
elyra
Elyra extends JupyterLab Notebooks with an AI centric approach.
flann
Fast Library for Approximate Nearest Neighbors
go-etl
go-etl是一个集数据源抽取，转化，加载，同步校验的工具集，提供强大的数据同步，数据校验甚至数据转储的功能。
gotokenizers
Go implementation of today's most used tokenizers
MedNLP_paper_reading
MedNLP papers
MOSS-RLHF
MOSS-RLHF
NLP-Tutorials
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
paper-reading
深度学习经典、新论文逐段精读
proxy_pool
Python爬虫代理IP池(proxy pool)
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
RoSTER
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
tf-reformer
Implementation of Reformer in TensorFlow
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
xf_event_extraction2020Top1
科大讯飞2020事件抽取挑战赛第一名解决方案&完整事件抽取系统