Pinned Repositories
AI_WEB_PAGE
集成可视化展示AI demo
AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
batfor.github.io
batfor的个人博客
CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
D3.js_Visualization
知识图谱(neo4j、力向导图)可视化
datawhale-
Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
DjangoBlog
🍺基于Django的博客系统
HeadlineCrawer
今日头条爬虫
RecruitDataVsible
爬取智联招聘网数据，并对其进行招聘数据可视化，爬虫，Data visualization，Django2，echarts
BATFOR's Repositories
BATFOR/RecruitDataVsible
爬取智联招聘网数据，并对其进行招聘数据可视化，爬虫，Data visualization，Django2，echarts
BATFOR/D3.js_Visualization
知识图谱(neo4j、力向导图)可视化
BATFOR/HeadlineCrawer
今日头条爬虫
BATFOR/AI_WEB_PAGE
集成可视化展示AI demo
BATFOR/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
BATFOR/batfor.github.io
batfor的个人博客
BATFOR/CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
BATFOR/datawhale-
BATFOR/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
BATFOR/DjangoBlog
🍺基于Django的博客系统
BATFOR/KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
BATFOR/LeetCode
刷题
BATFOR/lime
Lime: Explaining the predictions of any machine learning classifier
BATFOR/MyImg
image Repository
BATFOR/NewsSpider
BATFOR/NTU-Machine-learning
**大学李宏毅老师机器学习
BATFOR/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
BATFOR/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
BATFOR/pytorch-crf
(Linear-chain) Conditional random field in PyTorch.
BATFOR/Pytorch-Template
A clean and beautiful template for traning using pytorch.
BATFOR/pytorch-template-1
PyTorch deep learning projects made easy.
BATFOR/PyTorch-Tutorial
Build your neural network easy and fast
BATFOR/Reasoning-RCNN
Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection (CVPR2019 Oral)
BATFOR/spring-boot-quick
:herb: 基于springboot的快速学习示例,整合自己遇到的开源框架,如：rabbitmq(延迟队列)、jpa、redies、oauth2、swagger、jsp、docker、spring-batch、异常处理、日志输出、多模块开发、多环境打包、缓存cache、爬虫、jwt、dubbo和Async等等:pushpin:
BATFOR/team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
BATFOR/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
BATFOR/vue-d3-force
使用d3的力导向图模拟neo4j关系图谱展示