BIDMach alternatives and similar packages
Based on the "Big Data" category.
Alternatively, view BIDMach alternatives based on common mentions on social networks and blogs.
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Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing -
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Deeplearning4J
Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark -
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Reactive-kafka
Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka. -
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metorikku
A simplified, lightweight ETL Framework based on Apache Spark -
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Schemer
Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API. -
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GridScale
Scala library for accessing various file, batch systems, job schedulers and grid middlewares. -
Sparkplug
Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌 -
Spark Utils
Basic framework utilities to quickly start writing production ready Apache Spark applications -
Spark Tools
Executable Apache Spark Tools: Format Converter & SQL Processor
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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Popular Comparisons
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BIDMachvsDeeplearning4J
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README
BIDMach is a very fast machine learning library. Check the latest benchmarks
The github distribution contains source code only. You also need a jdk 8, an installation of NVIDIA CUDA 8.0 (if you want to use a GPU) and CUDNN 5 if you plan to use deep networks. For building you need maven 3.X.
After doing git clone, cd to the BIDMach directory, and build and install the jars with mvn install. You can then run bidmach with ./bidmach. More details on installing and running are available here.
The main project page is here.
Documentation is here in the wiki
New BIDMach has a discussion group on Google Groups.
BIDMach is a sister project of BIDMat, a matrix library, which is also on github
BIDData also has a project for deep reinforcement learning. BIDMach_RL contains state-of-the-art implementations of several reinforcement learning algorithms.