BigDL

BigDL[2] is a distributed deep learning framework for Apache Spark, created by Jason Dai at Intel.

BigDL
Developer(s)	Intel
Repository	https://github.com/intel-analytics/BigDL
Type	Library for deep learning
License	Apache 2.0[1]
Website	BigDL: Distributed Deep Learning Library for Apache Spark

Machine learning and data mining
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History

It is hosted at GitHub.[3]

Features

Applications

gollark: I mean, generally bad, possibly very bad, I don't really know.

gollark: Burns are possibly bad, after all.

gollark: It seems a reasonable thing to say, really.

gollark: If you don't mind non-lossless, Opus at 128kbps is apparently basically imperceptibly different, and you can put 8 times as much music on.

gollark: So I just rounded to 1000kbps arbitrarily.

References

"BigDL LICENSE". GitHub. 31 March 2020.
"BigDL Project". bigdl-project.github.io. Retrieved 2017-12-19.
"BigDL: Distributed Deep Learning Library for Apache Spark". GitHub. 31 March 2020.

External links

Deep learning software
Open-source	Apache SINGA Caffe Deeplearning4j DeepSpeed Dlib Keras Microsoft Cognitive Toolkit ML.NET MXNet OpenNN PyTorch TensorFlow Theano Torch ONNX
Proprietary	Maple Neural Designer Wolfram Mathematica Apple Core ML
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