Description
Read the DeepDive developer's guide to learn more about this source tree and how to contribute.
Licensed under Apache License, Version 2.0.
DeepDive alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view DeepDive 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 -
Deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
Deep Java Library (DJL)
An Engine-Agnostic Deep Learning Framework in Java -
Oryx 2
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning -
DatumBox
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications. -
JSAT
Java Statistical Analysis Tool, a Java library for Machine Learning -
Weka
Collection of algorithms for data mining tasks ranging from pre-processing to visualization.
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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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README
DeepDive
As of 2017, DeepDive project is in maintenance mode and no longer under active development. The user community remains active, but the original project members can no longer promise exciting new features/improvements or responding to requests. For the more up-to-date research, please see the Snorkel Project or Ce Zhang's Projects.
See deepdive.stanford.edu or [doc/](doc/index.md) to learn how to install and use DeepDive.
Or, just start with this one-liner command:
bash <(curl -fsSL git.io/getdeepdive)
Read the [DeepDive developer's guide](doc/developer.md#readme) to learn more about this source tree and how to contribute.
Licensed under Apache License, Version 2.0.
*Note that all licence references and agreements mentioned in the DeepDive README section above
are relevant to that project's source code only.