PyRank

Adam Optimizer Python Packages

Python packages with the GitHub topic adam-optimizer. Sorted by relevance, with stars and monthly downloads.
Koratahiu
adv-optm

A family of highly efficient, lightweight yet powerful optimizers.

34K 35 3
MatthewK78
rose-opt

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

4K 74 5
sharnam19
networks

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

2K 5 1
thieu1995
metaperceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization

411 15 1
Gunale0926
grams-pytorch

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

379 17 1
Pabloo22
dlfs

Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

250 5 3
OptimalFoundation
nadir

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

227 14 3
Ghost---Shadow
relativistic-adam

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

94 0 0