hub
Model registry
A centralized repository of pre-trained machine learning models for deep learning frameworks like PyTorch.
Submission to https://pytorch.org/hub/
1k stars
279 watching
245 forks
Language: Python
last commit: 11 months ago Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| Provides scalable, performant data loading solutions and utilities to be shared by PyTorch domain libraries | 1,149 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| An implementation of a lightweight convolutional neural network architecture for mobile devices | 191 |
| An implementation of Reformer, an efficient Transformer model for natural language processing tasks. | 2,132 |
| An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
| An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
| Trains a large-scale PyTorch language model on the 1-Billion Word dataset | 123 |
| Reimplements MobileNet-V2 and IGCV3 using PyTorch for efficient deep learning. | 19 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| A collection of tutorials and lessons on building deep learning models using the PyTorch library. | 326 |
| PyTorch implementation of PNASNet-5 architecture | 317 |
| A deep learning framework for handling heterogeneous tabular data with diverse column types | 582 |
| An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |