👉 The Adam project is an open-source machine learning framework that implements the Adaptive Moment Estimation (Adam) optimization algorithm, designed to efficiently train deep neural networks. Adam combines the advantages of two other popular optimizers, Momentum and RMSProp, by adapting learning rates for each parameter individually. This approach allows Adam to handle sparse gradients and non-stationary objectives effectively, making it particularly useful for training complex models with many parameters. The framework includes built-in support for various activation functions and regularization techniques, simplifying the process for researchers and practitioners to develop high-performance models with minimal setup.