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Dagger is a fully static, compile-time dependency injection framework for Java, Kotlin, and Android. It is an adaptation of an earlier version created by Square and now maintained by Google. The latest Dagger release is: Dagger 2.33. Dagger aims to address many of the development and performance issues that have plagued reflection-based solutions. Dagger is a replacement for the FactoryFactory classes that implements the dependency injection design pattern without the burden of writing...

Develop your app in Lua language and export it to most popular platforms, from desktop PC and Mac to mobile (Android, iOS, Windows Phone) and even Web. While Gideros is mainly dedicated to game development, it is also a good fit for professional apps. Code once, run everywhere! Intro documentation: http://docs.giderosmobile.com/ Reference documentation: http://docs.giderosmobile.com/reference/ Forum: http://giderosmobile.com/forum Full source code: https://github.com/gideros/gideros

..., which means you can train a model with one framework and deploy it with another. During the model conversion, we generate some code snippets to simplify later retraining or inference. We provide a model collection to help you find some popular models. We provide a model visualizer to display the network architecture more intuitively. We provide some guidelines to help you deploy DL models to another hardware platform.

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models...

With the help of the ProgramNet the user can develop plug-ins(called units) which can be connected with other units forming a net. The net has a form of a flow diagram. The resulted net can be executed in the ProgramNet for testing purposes or independently in the target platform as a final release. In order to execute a net the ProgramNet uses the kernel. The kernel executes automatically each unit in a separate thread and manages the data exchange between the units.