mim VS mmagic

Compare mim vs mmagic and see what are their differences.

mim

MIM Installs OpenMMLab Packages (by open-mmlab)

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)
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mim mmagic
1 5
329 6,602
1.2% 1.3%
5.6 8.7
6 months ago about 2 months ago
Python Jupyter Notebook
Apache License 2.0 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mim

Posts with mentions or reviews of mim. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-21.

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 mim and mmagic you can also consider the following projects:

mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

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

mmhuman3d - OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

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

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

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

mmcv - OpenMMLab Computer Vision Foundation

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

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

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

mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.

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