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Adam Optimizer Python Packages

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

A family of highly efficient, lightweight yet powerful optimizers.

16K 38 5
sharnam19
networks

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

2K 5 1
yanfeiwong
adafactor8bit

Memory-efficient PyTorch optimizers with Adaptive Log-Space quantization, fused CUDA kernels, and Adafactor, CAME, APOLLO support.

2K 3 0
MatthewK78
rose-opt

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

2K 78 5
thieu1995
metaperceptron

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

170 15 1
OptimalFoundation
nadir

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

143 15 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).

121 5 3
Gunale0926
grams-pytorch

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

80 17 1
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