Progress and Features

• training of models
• testing of models
• saving and loading of saved models
• option for installation of external packages which user want to install to use them in code.
• dataset viewer
• model output viewer
• basic code editor
• intellisense in code editor (partially completed)
• node editor with basic layers
• option to create custom node in node editor (you can write your own code for that node)
• prebuilt famous models like VGG etc. in node editor
• some open source datasets as nodes in node editor which can be used directly
• option to merge nodes and create new ones
• option to specify the number of consecutive repetition of any particular node in model
• prebuilt nodes which can convert images, videos, audios and text to tfrecord to use directly them in models (conversion of images is completed)
• integration of tensorboard to view training or testing progress
• projects viewer
• replace konvajs library (which handles visualization of nodes in node editor)