SPL
Image translation framework
A novel method for training image translation models without requiring additional networks or losses
Spatial Profile Loss for Image Translations
70 stars
9 watching
10 forks
Language: Python
last commit: about 5 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
| | A framework for unsupervised image-to-image translation using Generative Adversarial Networks (GANs) and deep learning. | 73 |
| | An implementation of an image-to-image translation algorithm using a neural network architecture | 142 |
| | A deep learning framework for real-time image segmentation on high-resolution images using convolutional neural networks | 86 |
| | An implementation of an image-to-image translation algorithm using deep learning and PyTorch | 428 |
| | This is an open-source project that proposes a novel method to train large-scale vision-language models with minimal resources and no fine-tuning required. | 94 |
| | A Haskell framework for fast prototyping of computer vision and image processing applications. | 94 |
| | A framework for parallel population-based reinforcement learning | 507 |
| | Pre-trained models and code for fine-tuning image recognition tasks using deep learning frameworks | 1,516 |
| | A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
| | Automates posting of images to Facebook groups using Python and browser automation tools | 9 |
| | A PyTorch implementation of an image-to-image translation model that generates new images from paired training data. | 1,491 |
| | A proof-of-concept compiler targeting SPIR-V for a toy ML functional shading language | 15 |
| | Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
| | A cross-platform library for GUI automation based on image recognition | 79 |