shield's repositories
CV-benchmarks
CV-Benchmarks: Following the current benchmarks for the most common Computer Vision (CV) tasks.
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
Awesome-AI-Competitions
:octocat: AI圈-人工智能竞赛Top解决方案(Awesome Top Solution List of Excellent AI Competitions)
awesome-network-embedding
A curated list of network embedding techniques.
books
"我的阅历"
ccf_financial_negative
CCF BDCI 金融信息负面及主体判定 冠军代码
Focal-Loss-implement-on-Tensorflow
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.
GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
information
一些公用的代码，资料文件，公司项目
interpy-zh
📘《Python进阶》（Intermediate Python 中文版）
IQIYI_VID_FACE
爱奇艺多模态人物识别比赛，排名第四
Knowledge-Graph-demo
知识图谱的小demo
knowledge_graph_demo
This is a demo for a simple knowledge graph.
KnowledgeGraphOfA-shareCompanys
金融知识图谱构建
leetcode-learning
leetcode learning
lic2019-competition
2019语言与智能技术竞赛-基于知识图谱的主动聊天
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
nlp-competitions-list-review
复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！
NLP-Project
including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc
pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
historical code from reddit.com
Search-Engines
CMU 11642 course work - a complete search engine
shieldDailyBlogs
shield's Blogs src
shieldOnTheRoad.github.io
shield's Blogs
stock-knowledge-graph
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
transformer
A Transformer implementation in Keras' Imperative (Subclassing) API for TensorFlow.