PhotoLab
lambda-packs
| PhotoLab | lambda-packs | |
|---|---|---|
| 4 | 1 | |
| 142 | 1,106 | |
| - | - | |
| 2.6 | 4.0 | |
| 5 months ago | 6 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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PhotoLab
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I have developed an AI-powered photo editor using PyQt6 integrating a number of state-of-the-art PyTorch models. I hope this editor will be useful for academia, ML research, hobby projects, and testing new state-of-the-art PyTorch models for image manipulation.
GitHub: https://github.com/p-ranav/PhotoLab
- I’ve implemented a AI-powered photo editor using PyQt6 integrating a number of a PyTorch models e.g., super-resolution, colorization, depth prediction etc., all in one application. I hope this will be useful for academia, hobby projects, and for testing new image manipulation models.
- I made an AI-powered feature-rich photo editor using PyTorch and PyQt6
- PhotoLab: AI-powered Photo Editor (Python, PyTorch, PyQt6)
lambda-packs
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Using TensorFlow and the Serverless Framework for deep learning and image recognition
As a hobby, I port a lot of libraries to make the serverless friendly. You can look at them here. They all have an MIT license, so feel free to modify and use them for your project.
What are some alternatives?
pibooth - The pibooth project provides a Photo Booth application out-of-the-box for Raspberry Pi and opencv compatible devices
equilib - 🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
Countdown-Wallpaper - A Python program that shows you a daily countdown to any date you choose by changing the desktop wallpaper
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Photomosaic-Creator - This script allows you to create a photomosaic from a set of images.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
xonsh-binary - Building the xonsh binary file.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
SC-EAC-Screenshot-SplashScreen - [Moved to: https://github.com/DJRLincs/SC-EAC-Screenshot-SplashScreen]
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
external_documentation_redirect - Python external documentation redirect for JetBrains IDEs