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a_geron-handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

apache-spark-docker

Dockerizing an Apache Spark Standalone Cluster

apache-spark-hands-on

Educational notes,Hands on problems w/ solutions for hadoop ecosystem

applied-deep-learning

Applied Deep Learning Course

as17171717-youtube-tutorials

Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.

assessingsolar

Solar Resource Assessment in Python

aws-certified-cloud-practitioner-notes

AWS Certified Cloud Practitioner Short Notes

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

belajar-docker-dasar

Belajar Docker Dasar

big-data-apache-spark-projects

Big-Data-Apache-Spark-Projects

big-data-cluster

The goal of this project is to build a docker cluster that gives access to Hadoop, HDFS, Hive, PySpark, Sqoop, Airflow, Kafka, Flume, Postgres, Cassandra, Hue, Zeppelin, Kadmin, Kafka Control Center and pgAdmin. This cluster is solely intended for usage in a development environment. Do not use it to run any production workloads.

big_data_framework-repositories

:hotsprings: Technical Notes and Samples

bigdata-playground

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

bigdata_docker

Big Data Docker Data Science Spark Spark3 Hadoop HDFS Scala Python Artificial Intelligence Machine Learning Jupyter Lab Notebook

bigdata_docker-1

Big Data Ecosystem Docker

bigdatawithdocker-kafka-spark-hdfs-grafana

books

building-energy-storage-simulation

An open source building energy storage environment for reinforcement learning.

climate-driven-energy-datasets

A list of all the freely available datasets of energy variables (electricity demand, wind/solar/hydro-power) reconstructions based on climate reanalysis or climate change projections.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

da-rnn

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

dataeng_cookbook

The Data Engineering Cookbook

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

docker-hadoop-cluster

This is a script to deploy a cluster with Apache Hadoop and Apache Spark + Apache Hive in distributed mode using Docker as infrastructure.

docker-spark-cluster

A Spark cluster setup running on Docker containers

dockerfiles

50+ DockerHub public images for Docker & Kubernetes - DevOps, CI/CD, GitHub Actions, CircleCI, Jenkins, TeamCity, Alpine, CentOS, Debian, Fedora, Ubuntu, Hadoop, Kafka, ZooKeeper, HBase, Cassandra, Solr, SolrCloud, Presto, Apache Drill, Nifi, Spark, Consul, Riak

electric-vehicle-charge-optimization

Simplified electric vehicle charge optimization based on Hoke (2011).

ev-charging-dataset-caltech

Research tools for the Adaptive Charging Network

gtm-transformer

Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends

hadoop-hive-spark-docker

Hadoop-Hive-Spark cluster + Jupyter on Docker