The reasons why you use pytorch-optimizer. Wide range of supported optimizers. Currently, 99 optimizers (+ bitsandbytes, qgalore, torchao), 16 lr schedulers, and 13 loss functions are supported!

Highly inspired by pytorch-optimizer. AdaHessian An Adaptive Second Order Optimizer for Machine Learning github https://arxiv.org/abs/2006.00719 cite AdamD Improved ...

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...

The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, such as "poor," "average" or "good" for a loan applicant's credit ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.