mim
mmrazor
mim | mmrazor | |
---|---|---|
1 | 4 | |
329 | 1,367 | |
1.2% | 1.5% | |
5.6 | 2.8 | |
6 months ago | 25 days ago | |
Python | Python | |
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.
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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
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MIM: MIM installs OpenMMLab packages.
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~
What are some alternatives?
mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
mmhuman3d - OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
mmcv - OpenMMLab Computer Vision Foundation
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.
ttach - Image Test Time Augmentation with PyTorch!