The main goal of this article is to provide a complete implementation of a Github Workflow capable of securely building, signing, and publishing Android apps. Follow these steps to create the Github Workflow: 1. Generate a new signing keystore 2. Add the following secrets to your Github repository (you’ll need…

A Simple Guide How To Create A Login Activity With Biometrics Support Using Material Design Components, Android Volley and Kotlin

Sometimes it’s necessary to call C/C++ code from Java, e.g., for GPGPU calculations using CUDA/OpenCL or to render complex 3D graphics using Vulkan/OpenGL. In such cases, the easiest way to invoke the C++ functions is to use Java Native Interface (JNI). …

Recently, EleutherAI released their GPT-3-like model GPT-Neo, and a few days ago, it was released as a part of the Hugging Face framework. At the time of writing, this model is available only at the master branch of the transformers repository, so you need to install it like this: pip…

Theory Today, three of the most popular end-to-end ASR (Automatic Speech Recognition) models are Jasper, Wave2Letter+, and Deep Speech 2. Now they are available as a part of the OpenSeq2Seq toolkit made by Nvidia. …

Theory An Optical Character Recognition (OCR) task is quite an old problem dated back to the 1970s when the first omni-font OCR technology has been developed. The complexity of this task comes from many natural features of texts: In some alphabets (Arabic, for example, especially in the cursive form) letters are…

Theory As the demand for data-driven products grows, the data science community has been rapidly developing solutions that allow us to create and apply all the recent revolutionary advances in artificial intelligence across multiple platforms. In the early years of the so-called AI era, it was very common to have a…

Theory Google BERT (Bidirectional Encoder Representations from Transformers) and other transformer-based models further improved the state of the art on eleven natural language processing tasks under broad categories of single text classification (e.g., sentiment analysis), text pair classification (e.g., natural language inference), question answering (like SQuAD 1.1) and text tagging (e.g…

Some theory Well, let’s assume that we have a dialog corpus that could be divided into pairs of questions and answers. And we need some kind of neural network that will predict the next word based on the previous ones. We also know that the input of neural network must be a…