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cs224n-2019

Stanford cs224n 2019 homework

deep_learning

Basic Deep Learning

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

javawebcorenote

为Java初学者提供的快速对javaweb核心阶段进行学习、复习的笔记

kp

主要是共指消解方面的论文和源码

machine-learning

machine-learning-with-python

此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

mit-ml

斯坦福机器学习完整 python 实现

neuralcoref

✨Fast Coreference Resolution in spaCy with Neural Networks

python

All Algorithms implemented in Python

python-100-days

出处：https://github.com/jackfrued/Python-100-Days.git

recsys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

rong360_2nd

第三届融360天机智能金融算法挑战赛-第二题：特征挖掘

spring-boot-seed

SpringBoot骨架项目，集成SpringBoot、Mybatis、Druid、Mapper、PageHelper、Redis、Shiro、Swagger2、Log4j2等技术

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow