research optim Exploration and implementation of state-of-the-art deep learning optimization algorithms in PyTorch. guava-classification Guava disease classification using DenseNet-Reloaded and ADOPT optimizer, achieving 99.73% accuracy. MNIST-SOPCNN Implementation of Self-Organizing Polynomial Convolutional Neural Networks on MNIST. MobileNetV4 PyTorch replication of the MobileNetV4 architecture for efficient mobile inference. cf-tf Collaborative filtering experiments on MovieLens datasets for recommendation systems. tools daily-research-paper-recommender Personalized daily research paper recommender system.