xianbin7's repositories
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
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
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
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
test
test
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.