mmrazor
mmagic
Our great sponsors
mmrazor | mmagic | |
---|---|---|
4 | 5 | |
1,365 | 6,570 | |
3.8% | 2.6% | |
2.8 | 8.7 | |
17 days ago | about 2 months ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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.
mmrazor
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMRazor: OpenMMLab model compression toolbox and benchmark.
- Still worrying about model compression? MMRazor may work for you.
- Still worrying about model compression? MMRazor is all you need
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[P] 4.5 times faster Hugging Face transformer inference by modifying some Python AST
https://github.com/open-mmlab/mmrazor ,it may work for you~
mmagic
- More than Editing, Unlock the Magic!
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MMEditing v1.0.0rc4 has been released (including Disco-Diffusion)
Join us to make it better! Try at https://github.com/open-mmlab/mmediting/tree/1.x
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMEditing: OpenMMLab image and video editing toolbox.
What are some alternatives?
transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
ttach - Image Test Time Augmentation with PyTorch!
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".