Jev in 25 Lines of Python

Jev is a Python library that allows developers to create and train neural networks using a simplified and intuitive API. The library is based on the popular JAX library and provides a range of features, including automatic differentiation, gradient computation, and optimization algorithms. Jev can be used for tasks such as image classification, natural language processing, and time series forecasting. It is designed to be easy to use and requires only 25 lines of Python code to implement a basic neural network.