Tutor Intelligence is running 100 Sonny semi-humanoid robots in its headquarters while sharing technology and data with its ...
Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
From weather apps to AI-powered simulations, students now have abundant resources to combine MATLAB, Python, and collaborative cloud tools like Google Colab. These platforms make it easier to learn, ...
Welcome to PyCIL, perhaps the toolbox for class-incremental learning with the most implemented methods. This is the code repository for "PyCIL: A Python Toolbox for Class-Incremental Learning" [paper] ...
Abstract: This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation ...
Abstract: According to research, the vast majority of road accidents (90%) are the result of human error, with only a small percentage (2%) being caused by malfunctions in the vehicle. Smart vehicles ...
Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented query strategies, initialization strategies, and stopping criteria are provided, which can be ...