👉 The Leap Project is an open-source, cross-platform framework designed to simplify the development of high-performance, scalable machine learning applications. It focuses on providing a unified API that abstracts away the complexities of various deep learning libraries and frameworks, such as TensorFlow, PyTorch, and ONNX, allowing developers to build models more efficiently. Leap aims to enable rapid prototyping and deployment by offering tools for model training, inference, and deployment, while also supporting distributed computing and edge AI. This makes it particularly useful for organizations looking to integrate machine learning into their applications without needing extensive expertise in low-level programming or deep learning frameworks.
