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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.

25K 28 2
MatthewK78
rose-opt

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

4K 60 4
sharnam19
networks

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

2K 5 1
Gunale0926
grams-pytorch

"Grams: Gradient Descent with Adaptive Momentum Scaling" implementation.

332 17 1
thieu1995
metaperceptron

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

291 15 1
OptimalFoundation
nadir

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

260 14 3
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).

176 5 3
Ghost---Shadow
relativistic-adam

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

68 0 0
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