Popular GitHub Repositories for Hadoop

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Alluxio, data orchestration for analytics and machine learning in the cloud

AI on Hadoop

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，并使用simpleui进行了美化。

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

CDP Public Cloud is an integrated analytics and data management platform deployed on cloud services. It offers broad data analytics and artificial intelligence functionality along with secure user access and data governance features.

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

An end-to-end machine learning and data mining framework on Hadoop

extremely distributed machine learning

Cheatsheets on numerous topics ranging from DataScience | ML | DL | AI | Big Data.

Data Analysis Using Hadoop/Spark/Storm/ElasticSearch/MachineLearning etc. This is My Daily Notes/Code/Demo. Don't fork, Just star !

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

? A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.

Information Inference Service of the OpenAIRE system

Docker Compose environment for big data research and machine learning development

Predictive Analysis using Big Data platforms and Machine Learning Libraries

Querying IMDB dataset using MapReduce and Hadoop framework on a single node cluster.

Distributed development applied to KMeans clustering algorithm using Hadoop and Spark.