Models Comparison.pytorch Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
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Imagenetv2A new test set for ImageNet
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Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
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LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
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ImgclsmobSandbox for training deep learning networks
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Vovnet.pytorchA pytorch implementation of VoVNet
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Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (+957.14%)
Tensorrt Utils⚡ Useful scripts when using TensorRT
Stars: ✭ 136 (+547.62%)
BiglittlenetOfficial repository for Big-Little Net
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ImagenetThis implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
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Pytorch CppPyTorch C++ inference with LibTorch
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PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
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FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
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GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
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IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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Selecsls PytorchReference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
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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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Mini Imagenet ToolsTools for generating mini-ImageNet dataset and processing batches
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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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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SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
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RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
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AtomnasCode for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
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PyramidnetTorch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
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PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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Ir NetThis project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
Stars: ✭ 119 (+466.67%)
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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MocoUnofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
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Dawn Bench EntriesDAWNBench: An End-to-End Deep Learning Benchmark and Competition
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Senet CaffeA Caffe Re-Implementation of SENet
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Pnasnet.tfTensorFlow implementation of PNASNet-5 on ImageNet
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Octconv.pytorchPyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
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Hbonet[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions
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ImagenetTensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Mobilenet CaffeCaffe Implementation of Google's MobileNets (v1 and v2)
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Alexnetimplement AlexNet with C / convolutional nerual network / machine learning / computer vision
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ArtosAdaptive Real-Time Object Detection System with HOG and CNN Features
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MogaMoGA: Searching Beyond MobileNetV3
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Tf Hrnettensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"
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EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
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Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Stars: ✭ 1,096 (+5119.05%)
Mobilenetv3 PytorchImplementing Searching for MobileNetV3 paper using Pytorch
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ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
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MobilenetworksKeras implementation of Mobile Networks
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Pretrained Models.pytorchPretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
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Labelimg🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
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Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
Stars: ✭ 132 (+528.57%)
nested-transformerNested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
Stars: ✭ 174 (+728.57%)
EffcientNetV2EfficientNetV2 implementation using PyTorch
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Pyramidnet PytorchA PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Stars: ✭ 234 (+1014.29%)