#计算机科学#H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me...
翻译 - 适用于更智能应用的开源快速可扩展机器学习平台：深度学习，梯度提升和XGBoost，随机森林，广义线性建模（逻辑回归，弹性网），K均值，PCA，堆叠集成，自动机器学习（AutoML）等。
#计算机科学#A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algor...
#计算机科学#A curated list of gradient boosting research papers with implementations.
#计算机科学#Sparkling Water provides H2O functionality inside Spark cluster
#计算机科学#This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with ...
#计算机科学#Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
#计算机科学#H2O.ai Machine Learning Interpretability Resources
Presentations from H2O meetups & conferences by the H2O.ai team
#Awesome#A curated list of research, applications and projects built using the H2O Machine Learning platform
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
#计算机科学#Materials for GWU DNSC 6279 and DNSC 6290.
Comparison tools
#计算机科学#Identifying diseases in chest X-rays using convolutional neural networks
#计算机科学#Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
#计算机科学#ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.
#计算机科学#RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)