Pinned Repositories
3D_ChineseInkPaintingStyleShader
An application of 3D Chinese Ink Painting Style shader using Unity
allennlp
An open-source NLP research library, built on PyTorch.
Android-ZBLibrary
Android快速开发框架，Android Studio、Eclipse多平台支持。MVP架构的Android开发框架，丰富的功能、简单的实现、详细的注释、规范的风格。OKHttp、图片加载、自动缓存以及各种Base、Demo、UI、Util直接用。一句话就能实现全局滑动返回。BaseHttpListActivity，几行代码搞定http请求列表 加载和缓存；BaseView，自定义View竟然如此简单；万能的Entry<K, V>，两个变量的Model/JavaBean再也不用写了；100多个常用style，一行搞定View属性，一键统一配置UI...[详情请看图文介绍]
anyproxy
A fully configurable http/https proxy in NodeJS
asyncload
异步并行加载工具(依赖字节码技术)
Baidu_Dogs
百度西交第三届大数据比赛Baseline(全国第4名)
basement
Yet another forum made by Flask and passion
bert
TensorFlow code and pre-trained models for BERT
BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
bert_seq2seq
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
zhoujiang2013's Repositories
zhoujiang2013/3D_ChineseInkPaintingStyleShader
An application of 3D Chinese Ink Painting Style shader using Unity
zhoujiang2013/bert
TensorFlow code and pre-trained models for BERT
zhoujiang2013/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
zhoujiang2013/bert_seq2seq
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
zhoujiang2013/Bytedance_ICME2019_challenge_baseline
Bytedance_ICME2019_challenge_baseline
zhoujiang2013/CLUE
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
zhoujiang2013/CLUEDatasetSearch
搜索所有中文NLP数据集，附常用英文NLP数据集
zhoujiang2013/CLUENER2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
zhoujiang2013/cube-studio
云原生一站式机器学习平台，多租户，数据资产，notebook在线开发，拖拉拽任务流编排，多机多卡分布式训练，超参搜索，推理服务，多集群调度，多项目组资源组，边缘计算，大模型实时训练, ai应用商店
zhoujiang2013/customer-segmentation-and-LTV
To identify best and valuable customers for the company, to analyse the customer needs and wants & develop marketing strategies to retain them and invest in the right customer category to increase company profits. Implement Customer LifetTime Value (CLTV) in order to distinguish customer based on their potential lifetime profits, thus invest in long term customer relationship strategy for the customer segments.
zhoujiang2013/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
zhoujiang2013/deep-siamese-text-similarity
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
zhoujiang2013/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
zhoujiang2013/deepparse
Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning
zhoujiang2013/funNLP
中文NLP
zhoujiang2013/jynew
群侠传，启动！（原金群3D重制版）
zhoujiang2013/kaggle-web-traffic
1st place solution
zhoujiang2013/load_forecasting
Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
zhoujiang2013/machine-learning-yearning-cn
Machine Learning Yearning 中文版官方授权翻译仓库
zhoujiang2013/models
Models and examples built with TensorFlow
zhoujiang2013/NER-RNN
Named Entity Recognition using Recurrent Neural Networks in Tensorflow and TFLearn
zhoujiang2013/NLP_pytorch_project
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
zhoujiang2013/NLPDataSet
记录本人整理的一些数据集
zhoujiang2013/nmt
TensorFlow Neural Machine Translation Tutorial
zhoujiang2013/PURE
NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction
zhoujiang2013/PyTorch_BERT_Biaffine_NER
论文复现《Named Entity Recognition as Dependency Parsing》
zhoujiang2013/roberta_zh
RoBERTa中文预训练模型: RoBERTa for Chinese
zhoujiang2013/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
zhoujiang2013/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
zhoujiang2013/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.