PyTorch and Tensorflow functional model definitions
Las características principales de szagoruyko/functional-zoo son: Herramientas de desarrollo, Model Utilities and Tools, Aprendizaje y referencia, Convolutional Neural Networks (CNNs), To be Classified.
Las alternativas de código abierto para szagoruyko/functional-zoo incluyen: cadene/pretrained-models.pytorch — This project is a pretrained model library for PyTorch, providing a collection of convolutional neural network… awentzonline/pytorch-cns. aditya-khant/neural-assembly-compiler. aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network… antbranch/awesome-github — A curated list of awesome GitHub guides, articles, sites, tools, projects and resources.… albanie/pytorch-mcn.
This project is a pretrained model library for PyTorch, providing a collection of convolutional neural network architectures and weights. It serves as a computer vision model zoo for image classification and feature extraction, offering a framework for transfer learning where pretrained networks are adapted for custom image recognition tasks. The library focuses on transforming images into high-level numerical representations and calculating class probability scores. It includes utilities for downloading and initializing standard architectures such as ResNet, Inception, and Xception. Capabil
TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.