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MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network.

...If the build times of the generated project are way smaller than yours, it might be worth inspecting deeply your build configs and optimizing. A configurable number of modules. A configurable number of packages. A configurable number of classes. A configurable number of inter-module dependencies. Android resources (images, strings, activities, layouts). Configure how to generate UI layer code. A configurable version of Gradle, Kotlin, the Android Gradle Plugin. Experimental Bazel support, ccompose and DataBinding support.

...Unlike simple observer patterns, AndroidEventBus typically integrates with Android lifecycles so that subscribers are automatically registered, paused, or cleaned up based on activity/fragment state — reducing memory leaks and errant behavior during configuration changes. The library aims to simplify common inter-component messaging tasks (like posting a login success event or notifying multiple listeners of state changes) while preserving type safety and performance.