huawei-noah/Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

convolutional-neural-networksefficient-inferenceghostnetimagenetmodel-compressionpretrained-modelspytorchtensorflowtransformervision-transformer

License & maintenance

No license stated: by default nobody may reuse the code. Ask the authors before using it in a product.

Last code push 19 months ago.

	Repository	Stars	Language	License	Activity
1	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Active
2	CorentinJ/Real-Time-Voice-CloningClone a voice in 5 seconds to generate arbitrary speech in real-time	★ 60.2k	Python	Other	Slowing
3	deezer/spleeterDeezer source separation library including pretrained models.	★ 28.5k	Python	MIT	Slowing
4	microsoft/onnxruntimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator	★ 22.1k	C++	MIT	Active
5	mlfoundations/open_clipAn open source implementation of CLIP.	★ 14.2k	Python	Other	Active
6	unifyai/ivyConvert Machine Learning Code Between Frameworks	★ 14.2k	Python	Other	Active
7	dragen1860/Deep-Learning-with-TensorFlow-book深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.	★ 13.2k	Jupyter Notebook	—	Stale
8	NielsRogge/Transformers-TutorialsThis repository contains demos I made with the Transformers library by HuggingFace.	★ 11.8k	Jupyter Notebook	MIT	Active