zhenjason's repositories
documentation
Official documentation for the Raspberry Pi
bilstm-crf
双向lstm+crf 序列标注
pyspider
A Powerful Spider(Web Crawler) System in Python.
BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
python_web_Crawler_DA_ML_DL
python从最基础的语法历经网络基础、前端基础、后端基础和爬虫与数据基础走向机器学习
eda_nlp
Code for the ICLR 2019 Workshop paper: Easy data augmentation techniques for boosting performance on text classification tasks.
BERT-pytorch
Google AI 2018 BERT pytorch implementation
NLP-progress
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.
twitter_nlp
Twitter NLP Tools
Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
named_entity_recognition
中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）
BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services
svm_mnist_digit_classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
attention
some attention implements
gated-graph-neural-network-samples
Sample Code for Gated Graph Neural Networks
ntds_2016
Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP
zero-shot-gcn
Zero-Shot Learning with GCN (CVPR 2018)
entity-recognition-datasets
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.
pytorch_NER_BiLSTM_CNN_CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch
deeplearningbook-chinese
Deep Learning Book Chinese Translation
openai-gpt-pytorch
Pytorch implementation of OpenAI-GPT for ROC stories
Information-Extraction-from-WikipediaEN
Python implementation of "Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm. Moro, Navigli (2013)" • University project • 2017 - Natural Language Processing - MSc in Computer Science, I year
DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
AutoCrawler
Google, Naver multiprocess image web crawler (Selenium)
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit
graph-networks
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
pytorch-openai-transformer-lm
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI