A PyTorch implementation of L-BFGS.

Improved LBFGS and LBFGS-B optimizers in PyTorch.

A PyTorch implementation of an Adaptive Memory Multi-Batch L-BFGS

Curve fitting comparison between Adam and L-BFGS optimizer

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pytorch implementation of the lbfgs-b algorithm.

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PyTorch implementation of neural style transfer using VGG19, LBFGS optimization, and TensorBoard visualization.

A simple PyTorch LBFGS optimization that can be merged into many pipelines for local refinement.

Neural Style Transfer using PyTorch and VGG-19 to blend the content of one image with the artistic style of another. Includes preprocessing, feature extraction, Gram matrix style loss, LBFGS optimization, and visualization of content, style, and output images.

A deep learning project that fuses the content of one image with the artistic style of another using Neural Style Transfer. This implementation leverages a pre-trained VGG19 model to extract image features and applies style via loss functions computed directly on PyTorch tensors. PyTorch, VGG19, torchvision, matplotlib, PIL, LBFGS optimizer

Neural Style Transfer in PyTorch using pretrained VGG19 to blend the content of one image with the artistic style of another. Features Gram matrix-based style extraction, adjustable content/style weights, LBFGS optimization, and visualizations of content, style, and stylized output for AI-driven art generation."