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Explore the skillSRCNN Tensorflow
tegg89
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
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26 Skills
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Explore the skilltegg89
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
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Explore the skillahmetozlu
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
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Explore the skilltimctho/convolutional-pose-machines-tensorflow is a high-star GitHub project relevant to AI agent workflows.
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Explore the skillastorfi
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
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Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs
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Explore the skillahmetozlu
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
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Explore the skillvictordibia
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
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Explore the skilluna-dinosauria
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
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Explore the skillMarvinTeichmann
A Kitti Road Segmentation model implemented in tensorflow.
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Explore the skilljiny2001
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Sup…
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Explore the skillJustin-Tan
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
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Explore the skillHRLTY
Official TP-GAN Tensorflow implementation for paper "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthe…
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Explore the skillluyanger1799
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
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Explore the skilluna-dinosauria
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.