fitzwang'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
GPL-3.0000
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Apache-2.0000
auto-sklearn
Automated Machine Learning with scikit-learn
Language:PythonBSD-3-Clause000
tensorflow
An Open Source Machine Learning Framework for Everyone
Language:C++Apache-2.0000
gcn
Implementation of Graph Convolutional Networks in TensorFlow
Language:PythonMIT000
feature-engineering-for-ml-zh
:book: [译] 面向机器学习的特征工程
tensorboard
TensorFlow's Visualization Toolkit
Language:PythonApache-2.0000
jni-maven-example
A JNI Example with Maven
000
hadoop
Mirror of Apache Hadoop
Language:JavaApache-2.0000
spark-graphx-source-analysis
spark graphx 的原理及相关操作的源码解析
000