Awesome GitHub RepositoriesLearning Rate Schedulers

Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di

Modifies learning rates dynamically using either static decay schedules or real-time feedback loops to improve model convergence.

Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users

Adjusts training rates dynamically by smoothing loss values and monitoring performance trends.