eqxvision
vision models
A package of pre-trained computer vision models for image classification and segmentation.
A Python package of computer vision models for the Equinox ecosystem.
102 stars
4 watching
12 forks
Language: Python
last commit: 7 months ago
Linked from 1 awesome list
equinoxpythonpytorchvision
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of the HMAX model for vision processing in PyTorch | 57 |
| A Python package for building and deploying computer vision models with PyTorch | 614 |
| A PyTorch implementation of an encoder-free vision-language model that can be fine-tuned for various tasks and modalities | 246 |
| A deep learning framework for training multi-modal models with vision and language capabilities. | 1,299 |
| Implementing a unified modal learning framework for generative vision-language models | 43 |
| An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| A PyTorch implementation of a real-time semantic segmentation model using ENet architecture | 392 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| A PyTorch-based computer vision library providing easy-to-use APIs and customizable models for faster training | 51 |
| Calculates real-world measurements from oblique images and time-lapse image series of glacial environments. | 42 |
| An implementation of a deep learning model for image segmentation using PyTorch | 868 |
| An annotated preference dataset and training framework for improving large vision language models. | 88 |
| PyTorch implementation of a deep learning model for image segmentation | 90 |
| An implementation of semantic image synthesis via adversarial learning using PyTorch | 145 |