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adv-optm

A family of highly efficient, lightweight yet powerful optimizers.

networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

rose-opt

🌹 Rose: Range-Of-Slice Equilibration PyTorch optimizer. Stateless optimization through range-normalized gradient updates.

metaperceptron

MetaPerceptron: A Standardized Framework for Metaheuristic-Trained Multi-Layer Perceptron

nadir

Nadir: Cutting-edge PyTorch optimizers for simplicity & composability! 🔥🚀💻

grams-pytorch

Grams: Gradient Descent with Adaptive Momentum Scaling (ICLR 2025 Workshop)

dlfs

implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

relativistic-adam

A PyTorch optimizer that implements a relativistic gradient clipping mechanism, inspired by the theory of special relativity.