Machine learning asset management

An asset developer computer for managing an asset for machine learning, comprising:

• at least one processor;
• local storage comprising a non-transitory computer-readable medium storing instructions that, when executed by the at least one processor, are configured to:
• retrieve, from a version control system server over a network, an asset for machine learning;
• deserialize the asset from a serialized asset data format to a deserialized asset data format using a seriazlier/deserializer to generate a deserialized asset;
• modify the deserialized asset to generate a new version of the asset;
• serialize the new version of the asset using the serializer/deserializer to generate a serialized new asset;
• and
• send the serialized new asset to the version control system server over the network for storage.

A computer readable medium storing instructions that, when executed by at least one processor are configured to perform a method for managing an asset for machine learning, the method comprising:

• retrieving, from a version control system server over a network, an asset for machine learning;
• deserializing the asset from a serialized asset data format to a deserialized asset data format using a seriazlier/deserializer to generate a deserialized asset;
• modifying, via at least one processor of an asset developer workstation, the deserialized asset to generate a new version of the asset;
• serializing the new version of the asset using the serializer/deserializer to generate a serialized new asset;
• and
• sending, from the asset developer workstation, the serialized new asset to the version control system server over the network for storage.