ENOT-AutoDL/coco-benchmark
Image Segmentation
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Updated
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5
ENOT AutoDL
company
AI & ML interests
Reduce neural network computing power requirements without sacrificing performance and accuracy.
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ENOT, or Embedded Network Optimization Technology, is a flexible tool for Deep Learning developers which automates neural architecture optimization. We support a variety of optimization techniques, you can find full details on our website or in our documentation.
Below you can find examples of models optimized with the help of ENOT Framework.
Feel free to contact us if you have any questions or suggestions.
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models
7
ENOT-AutoDL/MP-SENet
Updated
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6
ENOT-AutoDL/yolov8s_visdrone
Object Detection
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Updated
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2
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8
ENOT-AutoDL/imagenet-benchmark
Image Classification
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Updated
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4
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10
ENOT-AutoDL/supercombo-acceleration
Updated
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7
ENOT-AutoDL/gpt-j-6B-tensorrt-int8
Text Generation
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Updated
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7
ENOT-AutoDL/gpt2-tensorrt
Text Generation
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Updated
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4
datasets
None public yet