Pinned Repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
CS-Interview-Knowledge-Map
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
cs231n
cs231n assignments
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
featexp
Feature exploration for supervised learning
hinton-coursera
Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)
homework
Assignments for CS294-112.
interview_python
关于Python的面试题
spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
spark_scala_ml_examples
Spark 2.0 Scala Machine Learning examples
xianbin7's Repositories
xianbin7/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
xianbin7/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
xianbin7/CS-Interview-Knowledge-Map
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
xianbin7/cs231n
cs231n assignments
xianbin7/featexp
Feature exploration for supervised learning
xianbin7/hinton-coursera
Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)
xianbin7/homework
Assignments for CS294-112.
xianbin7/interview_python
关于Python的面试题
xianbin7/spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
xianbin7/spark_scala_ml_examples
Spark 2.0 Scala Machine Learning examples
xianbin7/SparkML
spark 机器学习:利用jupyter工作来讲解算法原理并运行相关例子
xianbin7/test
test
xianbin7/xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.