EfficientNet-PyTorch
Convolutional network
A PyTorch implementation of EfficientNet convolutional neural networks
A PyTorch implementation of EfficientNet
8k stars
133 watching
2k forks
Language: Python
last commit: almost 3 years ago
Linked from 2 awesome lists
efficientnet-pytorchfeature-extractionimagenetpretrained-models
Related projects:
Repository | Description | Stars |
---|---|---|
zsef123/efficientnets-pytorch | A PyTorch implementation of EfficientNet for computer vision tasks | 309 |
diego999/pygat | An implementation of the Graph Attention Network model using PyTorch. | 2,935 |
cadene/pretrained-models.pytorch | Provides pre-trained PyTorch models for various computer vision tasks and datasets. | 9,044 |
lucidrains/dalle2-pytorch | An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,184 |
facebookresearch/dinov2 | A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision. | 9,425 |
jwyang/faster-rcnn.pytorch | An object detection implementation built on top of PyTorch, supporting multi-image batch training and multiple GPUs. | 7,721 |
yunjey/pytorch-tutorial | A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,401 |
qubvel-org/segmentation_models.pytorch | A comprehensive library for training and applying deep learning models for image segmentation | 9,829 |
pytorch/examples | A collection of curated examples showcasing various PyTorch applications in computer vision, natural language processing, and reinforcement learning. | 22,530 |
lucidrains/imagen-pytorch | Implements Google's Text-to-Image Neural Network in PyTorch using a cascading DDPM architecture with dynamic clipping and noise level conditioning. | 8,127 |
carpedm20/enas-pytorch | Automates the discovery of neural network architectures by sharing parameters between subgraphs in a large computational graph | 2,709 |
eriklindernoren/pytorch-gan | A collection of PyTorch implementations of Generative Adversarial Networks for image synthesis and other applications. | 16,570 |
pytorch/pytorch | A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 84,978 |
ahkarami/deep-learning-in-production | A collection of notes and references on deploying deep learning models in production environments | 4,313 |
nvlabs/stylegan2-ada-pytorch | An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. | 4,144 |