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PixellibVisit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
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Change Detection ReviewA review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
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image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
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Human Segmentation PytorchHuman segmentation models, training/inference code, and trained weights, implemented in PyTorch
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Pytorch UnetPyTorch implementation of the U-Net for image semantic segmentation with high quality images
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Geo Deep LearningDeep learning applied to georeferenced datasets
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unet pytorchPytorch implementation of UNet for converting aerial satellite images into google maps kinda images.
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Lung SegmentationSegmentation of Lungs from Chest X-Rays using Fully Connected Networks
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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ScasNetSemantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)
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PaddlesegEnd-to-end image segmentation kit based on PaddlePaddle.
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Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
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VedasegA semantic segmentation toolbox based on PyTorch
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Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
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Raster VisionAn open source framework for deep learning on satellite and aerial imagery.
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pytorch-UNet2D and 3D UNet implementation in PyTorch.
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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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LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
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Bcdu NetBCDU-Net : Medical Image Segmentation
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Tf Unettensorflow version of unet
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SegmentationTensorflow implementation : U-net and FCN with global convolution
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Siren PytorchPytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
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ColabContinual Learning tutorials and demo running on Google Colaboratory.
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Awesome Machine Learning In CompilersMust read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
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Adversarial Robustness ToolboxAdversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
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3dunet Tensorflow Brats183D Unet biomedical segmentation model powered by tensorpack with fast io speed
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Slot AttentionImplementation of Slot Attention from GoogleAI
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Awesome Ml CoursesAwesome free machine learning and AI courses with video lectures.
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AdeptrlReinforcement learning framework to accelerate research
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Perfect TensorflowTensorFlow C API Class Wrapper in Server Side Swift.
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Kili PlaygroundSimplest and fastest image and text annotation tool.
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MlcompDistributed DAG (Directed acyclic graph) framework for machine learning with UI
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AtariAI research environment for the Atari 2600 games 🤖.
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BlogTechnical blog repo of metaflow
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FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
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Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Unity FastpacedmultiplayerFeatures a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation
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IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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