Machine-Learning-Session.
5.2kcs229. Stanford CS229 (Autumn 2017)
30GNNPapers. Must-read papers on graph neural networks (GNN)
25awesome-graph-classification. A collection of important graph embedding, classification and representation learning papers with implementations.
16ambari-impala-service. Python
10Graph-based-Outlier-Detection.
9Awesome-Graph-Neural-Networks. Paper Lists for Graph Neural Networks
6machine-learning-notes. This contains my machine learning notes in latex form
5sda. social data analysis
2leetcoder-pratice. leetcoder-joe007
2QuestionAnsweringSystem. QuestionAnsweringSystem是一个Java实现的人机问答系统,能够自动分析问题并给出候选答案。
2docker. Docker - the open-source application container engine
2spring-boot. Spring Boot
1neural-networks-and-deep-learning. Code samples for my book "Neural Networks and Deep Learning"
1neural-style-transfer. A website for styling images with NST
1spark-deep-learning. Deep Learning Pipelines for Apache Spark
1tensorflow. Computation using data flow graphs for scalable machine learning
1light-task-scheduler. 轻量级分布式任务调度框架
1Graph-Neural-Network-Review.
1kafka. Mirror of Apache Kafka
1spark-practice. Scala
1zookeeper. Mirror of Apache Hadoop ZooKeeper
1kafka-connect-jdbc. Kafka Connect connector for JDBC-compatible databases
1hive. Mirror of Apache Hive
1tidb. TiDB is a distributed SQL database compatible with MySQL protocol.
1hdfsutils. Java
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