zq.deer's repositories
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
CLUE
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Hands-on-RL
https://hrl.boyuai.com/
TrWebOCR
开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~
WorldEdit
🗺️ Minecraft map editor and mod
Entity_Alignment_Papers
Must-read papers on entity alignment published in recent years
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
lime
Lime: Explaining the predictions of any machine learning classifier
alibi
Algorithms for monitoring and explaining machine learning models
SentEval
A python tool for evaluating the quality of sentence embeddings.
awesome-adb
ADB Usage Complete / ADB 用法大全
QA-Survey
北航大数据高精尖中心研究张日崇团队对问答系统的总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TabletQA）和基于视觉的问答系统（VisualQA），每类系统分别对学术界和工业界进行总结。
rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
termdash
Terminal based dashboard.
FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
corpus-1
自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。
eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
jd_seckill
fork huanghyw/jd_seckill
interpretableNLP
A list of publications on NLP interpretability (Welcome PR)
deep-keyphrase
seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
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
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
nlp_baai
NLP models and codes for BAAI-JD joint project.
Chinese_medical_NLP
中文医疗NLP领域 数据集，论文 ，知识图谱，语料，工具包
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)