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convolutional-networks

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thtrieu / darkflow

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darkflow not installed from requirement.txt

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Francisobiagwu
Francisobiagwu commented Oct 31, 2019

darkflow_error

I created a virtual environment using conda and I installed darkflow and it worked pretty well. I later exported the environment to try it on another computer to verify that everything works. But conda doesn't install the darkflow even though it exists on the requirement.txt

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udacity / deep-learning-v2-pytorch

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666DZY666 / model-compression

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model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

pytorch pruning convolutional-networks quantization xnor-net model-compression bnn neuromorphic-computing group-convolution network-in-network dorefa twn network-slimming integer-arithmetic-only quan-batch-normalization-folding quantization-aware-training
  • Updated Apr 6, 2020
  • Python

tobybreckon / fire-detection-cnn

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real-time fire detection in video imagery using a convolutonal neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

machine-learning deep-neural-networks computer-vision deep-learning tensorflow deep-learning-algorithms convolutional-networks convolutional-neural-networks object-detection network-architecture superpixels tensorflow-examples cnn-architecture fire-detector cnn-for-visual-recognition robot-vision fire-detection inceptionv1-onfire superpixel-segment firenet
  • Updated Jun 24, 2020
  • Python

hoangcuong2011 / Good-Papers

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I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

machine-learning natural-language-processing computer-vision deep-learning neural-network semi-supervised-learning convolutional-networks neural-machine-translation representation-learning gaussian-processes variational-inference kernel-learning variational-autoencoders deep-kernel-learning
  • Updated Jun 5, 2019

josedolz / LiviaNET

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This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

deep-neural-networks theano deep-learning architecture cnn mri medical-imaging neural-networks deep-learning-algorithms neuroimaging convolutional-networks convolutional-neural-networks image-segmentation nifti-format neuroimage medical-image-processing 3d-convolutional-network 3d-cnn scale-study medical-image-analysis medical-image-segmentation brain-segmentation
  • Updated Nov 20, 2019
  • Python

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