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It looks like BigDL is the most active one. I want to start my DeepLearning on spark by using spark-deep-learning, but I afraid others will popular than databricks.spark-deep-learning. So I still hesitate which one to choice.
The text was updated successfully, but these errors were encountered:
It looks like BigDL is the most active one. I want to start my DeepLearning on spark by using spark-deep-learning, but I afraid others will popular than databricks.spark-deep-learning. So I still hesitate which one to choice.
I find it so many ‘spark-deep-learning’, such as :
elephas:https://github.com/maxpumperla/elephas
dist-keras:https://github.com/cerndb/dist-keras
sparknet:https://github.com/amplab/sparknet
dl4j:https://github.com/deeplearning4j/dl4j-spark-ml
TensorFlowOnSpark:https://github.com/yahoo/TensorFlowOnSpark
spark-deep-learning:https://github.com/databricks/spark-deep-learning
H2O:https://github.com/h2oai/sparkling-water/tree/master/
BigDL:https://github.com/intel-analytics/BigDL
analytics-zoo:https://github.com/intel-analytics/analytics-zoo
It looks like BigDL is the most active one. I want to start my DeepLearning on spark by using spark-deep-learning, but I afraid others will popular than databricks.spark-deep-learning. So I still hesitate which one to choice.
The text was updated successfully, but these errors were encountered: