Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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Bcdu NetBCDU-Net : Medical Image Segmentation
Stars: ✭ 314 (+16.3%)
Lung Segmentation 2dLung fields segmentation on CXR images using convolutional neural networks.
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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TorchioMedical image preprocessing and augmentation toolkit for deep learning
Stars: ✭ 708 (+162.22%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-70.37%)
DeepgazeComputer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-48.52%)
LivianetThis 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"
Stars: ✭ 143 (-47.04%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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AutoclintA specially designed light version of Fast AutoAugment
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Pytorch convlstmconvolutional lstm implementation in pytorch
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Tf Adnet TrackingDeep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
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DeepwayThis project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
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PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
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PyTorch-UNetPyTorch Implementation for Segmentation and Saliency Prediction
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PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
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Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Stars: ✭ 1,276 (+372.59%)
Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Lenet 5PyTorch implementation of LeNet-5 with live visualization
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argus-tgs-saltKaggle | 14th place solution for TGS Salt Identification Challenge
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Simple cnnSimple Convolutional Neural Network Library
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TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
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CnnimageretrievalCNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
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MiscnnA framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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Depression DetectPredicting depression from acoustic features of speech using a Convolutional Neural Network.
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Grad cam plus plusA generalized gradient-based CNN visualization technique
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TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
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Awesome TensorlayerA curated list of dedicated resources and applications
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Bilinear Cnn TensorflowThis is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
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Kaggle dstl submissionCode for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
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segmentation-enhanced-resunetUrban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.
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BrainyBrainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.
Stars: ✭ 29 (-89.26%)
Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
Stars: ✭ 29 (-89.26%)
Keras SincnetKeras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
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Switchnorm segmentationSwitchable Normalization for semantic image segmentation and scene parsing.
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Anime4kA High-Quality Real Time Upscaler for Anime Video
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