thtrieu / darkflow

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

deep-learning realtime regression convolutional-networks yolo2

Updated Sep 25, 2020
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wkentaro / pytorch-fcn

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PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

computer-vision deep-learning pytorch fcn convolutional-networks semantic-segmentation fcn8s

Updated Sep 1, 2019
Python

nnzhan / Awesome-Graph-Neural-Networks

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Paper Lists for Graph Neural Networks

deep-learning convolutional-networks graph-attention graph-network generated-graphs graph-auto-encoder

Updated May 5, 2020

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 Jul 27, 2020
Python

InFoCusp / tf_cnnvis

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CNN visualization tool in TensorFlow

visualization tensorflow cnn deepdream tensorboard convolutional-networks convolutional-neural-networks

Updated Mar 16, 2019
Python

ducha-aiki / caffenet-benchmark

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Evaluation of the CNN design choices performance on ImageNet-2012.

benchmark caffe architecture dataset imagenet convolutional-networks convolutional-neural-networks activations relu batch-size caffenet lr-policy

Updated Jul 30, 2017
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implus / PytorchInsight

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a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Updated Nov 6, 2019
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experiencor / self-driving-toy-car

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A self driving toy car using end-to-end learning

raspberry-pi machine-learning deep-learning servo self-driving-car convolutional-networks cnn-keras

Updated Jul 28, 2017
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cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline

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Fully Convlutional Neural Networks for state-of-the-art time series classification

deep-learning time-series convolutional-networks

Updated Jul 3, 2019
Python

yihui-he / u-net

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U-Net: Convolutional Networks for Biomedical Image Segmentation

deep-neural-networks keras medical-imaging convolutional-networks image-segmentation

Updated Sep 27, 2018
Python

buomsoo-kim / Easy-deep-learning-with-Keras

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Keras tutorial for beginners (using TF backend)

deep-neural-networks deep-learning neural-network lstm gru neural-networks rnn convolutional-networks convolutional-neural-networks convolutional-neural-network

Updated Apr 21, 2018
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skcript / tensorflow-resources

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Curated Tensorflow code resources to help you get started with Deep Learning.

machine-learning ai deep-learning tensorflow regression prediction classification artificial-neural-networks convolutional-networks tensorflow-examples tensorflow-resources

Updated Sep 25, 2017
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tobybreckon / fire-detection-cnn

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real-time fire detection in video imagery using a convolutional 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 Sep 29, 2020
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TNTLFreiburg / braindecode

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Outdated, see new https://github.com/braindecode/braindecode

deep-learning eeg convolutional-networks convolutional-neural-networks brain-signal-decoding

Updated May 11, 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

uoip / SSD-variants

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PyTorch implementation of several SSD based object detection algorithms.

deep-learning pytorch ssd convolutional-networks object-detection one-stage

Updated Jan 10, 2018
Python

JihongJu / keras-fcn

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A playable implementation of Fully Convolutional Networks with Keras.

keras convolutional-networks keras-neural-networks

Updated Jul 28, 2017
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wkentaro / fcn

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Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

computer-vision deep-learning chainer segmentation fcn convolutional-networks semantic-segmentation fcn8s

Updated Sep 1, 2019
Python

ducha-aiki / affnet

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Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

computer-vision deep-learning pytorch convolutional-networks convolutional-neural-networks hessian image-retrieval image-matching local-features affine-shape-estimator