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The Maximum Matching algorithm finds the largest possible set of edges in a graph with no common vertices. It has applications in computer science, mathematics, and operations research and can be solved efficiently with algorithms such as augmenting path and Hopcroft-Karp with a time complexity of O(E√V).
credit-score-donut is a Compose Multiplatform (CMP) application that fetches and displays credit score information showing on Donut using compose. The app runs seamlessly across Android and iOS, utilizing Kotlin Multiplatform (KMP) for shared logic.
Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that is capable of remembering long-term dependencies in sequential data by using memory cells, gates, and a hidden state to control the flow of information. It is widely used in time series analysis, natural language processing, and other tasks.
Recurrent Neural Networks (RNNs) are a type of neural network that process sequential data, such as speech, text, or time-series data. RNNs use feedback connections to maintain a state that can capture information from previous inputs, allowing them to make predictions based on a sequence of inputs.
SharedPreferences-Multiplatform is a Kotlin Multiplatform library that provides shared preference functionality across Android and iOS platforms. This library allows you to manage key-value storage in a platform-agnostic way, while using a dependency injection framework like Koin.
Projeto seguindo o Hands-on KMM: Network and Data Storage, que tem por objetivo demonstrar o uso de bibliotecas cross-platform (como SQLDelight, Ktor, Coroutines e Serialization) no desenvolvimento de um app KMM (Kotlin Multiplatform Mobile). Esse projeto serve de estudo, para viabilizar o desenvolvimento de um projeto real e maior no futuro.
This is a sample application repository which use Kotlin Multi platform and Compose multi platform to create iOS and Android apps using single source base.