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A Datacenter Scale Distributed Inference Serving Framework
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Reliable Allreduce and Broadcast Interface for distributed machine learning
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
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
TensorFlow implementation of Independently Recurrent Neural Networks
links to conference publications in graph-based deep learning
Must-read papers on graph neural networks (GNN)
scikit-learn: machine learning in Python
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, Dask, Flink and DataFlow
Trajectory Clustering: A Partition-and-Group Framework(2007)算法实现
Swarm Mining Relaxed Temporal Moving Object Cluster(2010) Swarm算法实现
PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth算法实现
致力于将李航博士《统计学习方法》一书中所有算法实现一遍

