Shypd.aiThe largest open index of AI toolsdeeplearning-models is an Open Source & Models tool that provides a collection of deep learning architectures and models. It offers Jupyter Notebooks for TensorFlow and PyTorch implementations, useful for AI developers and machine learning engineers.
Trending
Also listed in
About
deeplearning-models is a comprehensive collection of various deep learning architectures, models, and practical tips, presented in Jupyter Notebooks. It supports both TensorFlow and PyTorch frameworks, offering implementations for traditional machine learning, multilayer perceptrons, convolutional neural networks (including AlexNet, DenseNet, LeNet, MobileNet, VGG, ResNet), transformers, ordinal regression, normalization layers, metric learning, autoencoders (fully-connected, convolutional, variational, conditional variational), generative adversarial networks (GANs), graph neural networks (GNNs), and recurrent neural networks (RNNs). The repository also includes notebooks on model evaluation, data augmentation, tips and tricks, transfer learning, visualization, and PyTorch/TensorFlow workflows, making it an invaluable resource for learning and implementing deep learning concepts.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
