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Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
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Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
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SaliencyTensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
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Nanodet⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
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Unsupervised detectionAn Unsupervised Learning Framework for Moving Object Detection From Videos
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SpoonnFPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)
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Mapmean Average Precision - This code evaluates the performance of your neural net for object recognition.
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