DIF VS mmagic

Compare DIF vs mmagic and see what are their differences.

DIF

"DNA IMAGE FOOTPRINT" The main idea is to convert a DNA sequence to an image to find any related sequences in the image with common algorithms (by MahdiKarimian)
Dna dna-sequences Image processing Visualization Genome genome-assembly
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mmagic

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. (by open-mmlab)
super-resolution inpainting matting image-generation generative-adversarial-network Pytorch Deep Learning video-interpolation video-frame-interpolation video-super-resolution Computer Vision Image Editing Image processing image-synthesis diffusion text2image aigc generative-ai diffusion-models
Source Code
mmagic.readthedocs.io
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DIF mmagic
2 5
1 6,588
- 1.1%
3.6 8.7
over 2 years ago about 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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DIF

Posts with mentions or reviews of DIF. We have used some of these posts to build our list of alternatives and similar projects.

mmagic

Posts with mentions or reviews of mmagic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing DIF and mmagic you can also consider the following projects:

RagTag - Tools for fast and flexible genome assembly scaffolding and improvement

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

mmdetection - OpenMMLab Detection Toolbox and Benchmark

facexlib - FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform

DIF vs RagTag mmagic vs a-PyTorch-Tutorial-to-Super-Resolution mmagic vs Real-ESRGAN mmagic vs Image-Super-Resolution-via-Iterative-Refinement mmagic vs Real-ESRGAN-colab mmagic vs cnn-watermark-removal mmagic vs Deep-Exemplar-based-Video-Colorization mmagic vs contrastive-unpaired-translation mmagic vs mmselfsup mmagic vs mmdetection mmagic vs facexlib mmagic vs ncnn