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Mxnet IrImage Retrieval Experiment Using Triplet Loss
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Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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RmdlRMDL: Random Multimodel Deep Learning for Classification
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Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
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IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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SincnetSincNet is a neural architecture for efficiently processing raw audio samples.
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Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
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GtsrbConvolutional Neural Network for German Traffic Sign Recognition Benchmark
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Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
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Ios 10 SamplerCode examples for new APIs of iOS 10.
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Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
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Neuralnetwork.netA TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
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Espnetv2A light-weight, power efficient, and general purpose convolutional neural network
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Cnn For Image Retrieval🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
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TorchioMedical image preprocessing and augmentation toolkit for deep learning
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Simple cnnSimple Convolutional Neural Network Library
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NumpycnnBuilding Convolutional Neural Networks From Scratch using NumPy
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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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Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
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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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Lenet 5PyTorch implementation of LeNet-5 with live visualization
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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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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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Pytorch SrganA modern PyTorch implementation of SRGAN
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DeeplogoA brand logo detection system using tensorflow object detection API.
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DeepfaceDeep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow
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Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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Music recommenderMusic recommender using deep learning with Keras and TensorFlow
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Regl CnnDigit recognition with Convolutional Neural Networks in WebGL
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Tf cnnvisCNN visualization tool in TensorFlow
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DeepmodelsTensorFlow Implementation of state-of-the-art models since 2012
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Pytorch SaltnetKaggle | 9th place single model solution for TGS Salt Identification Challenge
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Deep RankingLearning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
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Keras SincnetKeras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
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Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
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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"
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Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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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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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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PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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MirrorMatchable Image Retrieval by Learning from Surface Reconstruction
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Pytorch convlstmconvolutional lstm implementation in pytorch
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