IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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Mutual labels: deep-neural-networks, image-classification, imagenet
ImgclsmobSandbox for training deep learning networks
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Neural Backed Decision TreesMaking decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
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Mutual labels: image-classification, imagenet, cifar10
TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
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Mutual labels: image-classification, imagenet, cifar10
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
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Mutual labels: image-classification, imagenet, cifar10
BottleneckTransformersBottleneck Transformers for Visual Recognition
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Mutual labels: imagenet, image-classification, cifar10
Image classification cifar 10Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.
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Mutual labels: deep-neural-networks, image-classification, cifar10
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
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Mutual labels: imagenet, cifar10
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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Mutual labels: deep-neural-networks, image-classification
RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
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Mutual labels: image-classification, imagenet
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
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Mutual labels: image-classification, imagenet
Divide And Co Training[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
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Mutual labels: image-classification, imagenet
Gluon2pytorchGluon to PyTorch deep neural network model converter
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Mutual labels: deep-neural-networks, mxnet
Cv Pretrained ModelA collection of computer vision pre-trained models.
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Mutual labels: image-classification, imagenet
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
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Mutual labels: deep-neural-networks, mxnet
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
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Mutual labels: image-classification, cifar10
LabeldLabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.
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Mutual labels: deep-neural-networks, image-classification
Mxnet FinetunerAn all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
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Mutual labels: deep-neural-networks, mxnet