Azure-Computer-Vision-in-a-day-workshop VS mmagic

Compare Azure-Computer-Vision-in-a-day-workshop vs mmagic and see what are their differences.

Azure-Computer-Vision-in-a-day-workshop

Azure Computer Vision 4 (March 2023 - Florence) workshop in a day (by retkowsky)
Azure azure-ai azure-cognitive-services azure-computer-vision Microsoft Computer Vision Image processing
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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
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mmagic.readthedocs.io
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Azure-Computer-Vision-in-a-day-workshop mmagic
1 5
42 6,602
- 1.5%
7.2 8.7
almost 1 year ago about 2 months ago
Jupyter Notebook Jupyter Notebook
- Apache License 2.0
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Azure-Computer-Vision-in-a-day-workshop

Posts with mentions or reviews of Azure-Computer-Vision-in-a-day-workshop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-17.
  • Azure Cognitive for Vision - Large Foundation Model
    3 projects | dev.to | 17 Jul 2023
    To better illustrate this concept, I'm sharing this GitHub code that demonstrates the functionality in action: Azure-ComputerVision-ImageRetrieval. Additionally, I highly recommend this repository by Serge Retkowsky. In there, you'll find fantastic examples and demonstrations to kick-start your learning journey in the world of Azure Cognitive Services for Vision.

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 Azure-Computer-Vision-in-a-day-workshop and mmagic you can also consider the following projects:

maxvit - [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

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

ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.

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

Azure-ComputerVision-ImageAnalysis - Azure-ComputerVision- Caption and Dense captions (version 4.0 preview)

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

Azure-ComputerVision-ImageRetrieval - Azure-ComputerVision-ImageRetrieval (version 4.0 preview)

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

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

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)

Azure-Computer-Vision-in-a-day-workshop vs maxvit mmagic vs a-PyTorch-Tutorial-to-Super-Resolution Azure-Computer-Vision-in-a-day-workshop vs ocrpy mmagic vs Real-ESRGAN Azure-Computer-Vision-in-a-day-workshop vs Azure-ComputerVision-ImageAnalysis mmagic vs Image-Super-Resolution-via-Iterative-Refinement Azure-Computer-Vision-in-a-day-workshop vs Azure-ComputerVision-ImageRetrieval mmagic vs Real-ESRGAN-colab Azure-Computer-Vision-in-a-day-workshop vs computervision-recipes mmagic vs cnn-watermark-removal mmagic vs Deep-Exemplar-based-Video-Colorization mmagic vs contrastive-unpaired-translation