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Grad Cam[ICCV 2017] Torch code for Grad-CAM
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PiwisePixel-wise segmentation on VOC2012 dataset using pytorch.
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TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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EspnetEnd-to-End Speech Processing Toolkit
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XnnpackHigh-efficiency floating-point neural network inference operators for mobile, server, and Web
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Stars: ✭ 350 (+360.53%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
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MeshcnnConvolutional Neural Network for 3D meshes in PyTorch
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Stars: ✭ 788 (+936.84%)
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
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Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
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Sota Point Cloud🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
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Involution[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
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Cross Domain DetectionCross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
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SincnetSincNet is a neural architecture for efficiently processing raw audio samples.
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Unet Rgbunet for rgb images semantic segmentation
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DllFast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
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TresnetOfficial Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
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EfficientnasTowards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
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NeurecNext RecSys Library
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Android YoloReal-time object detection on Android using the YOLO network with TensorFlow
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Real Time Networkreal-time network architecture for mobile devices and semantic segmentation
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Feel The KernGenerating proportional fonts with deep learning
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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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Dcm NetThis work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
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Equivariant Transformers Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
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FastmriA large-scale dataset of both raw MRI measurements and clinical MRI images
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