Awesome RoboticsA curated list of awesome links and software libraries that are useful for robots.
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Coco Annotator✏️ Web-based image segmentation tool for object detection, localization, and keypoints
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Ternausnetv2TernausNetV2: Fully Convolutional Network for Instance Segmentation
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Awesome TransitCommunity list of transit APIs, apps, datasets, research, and software 🚌🌟🚋🌟🚂
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CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
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DatasetteAn open source multi-tool for exploring and publishing data
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Eccv2020 CodeECCV 2020 论文开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2020开源项目
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OpenmlOpen Machine Learning
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PydatasetInstant access to many datasets in Python.
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GeobrEasy access to official spatial data sets of Brazil in R and Python
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Efficient Segmentation NetworksLightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
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Refinenet RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
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Robot Surgery SegmentationWining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
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Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
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Js Segment AnnotatorJavascript image annotation tool based on image segmentation.
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Dataframes.jlIn-memory tabular data in Julia
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Semseg常用的语义分割架构结构综述以及代码复现
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PaperrobotCode for PaperRobot: Incremental Draft Generation of Scientific Ideas
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Datasets For Recommender SystemsThis is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
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Animal MattingGithub repository for the paper End-to-end Animal Image Matting
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ImagesegmentationPerform image segmentation and background removal in javascript using superpixes
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Entity Recognition DatasetsA collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
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DatasetsMachine learning datasets used in tutorials on MachineLearningMastery.com
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Max Image Segmenter Web AppDeploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models
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Ai sudokuGUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
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Keras RcnnKeras package for region-based convolutional neural networks (RCNNs)
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Graph Based Image SegmentationImplementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.
Stars: ✭ 31 (-11.43%)
Voice datasets🔊 A comprehensive list of open-source datasets for voice and sound computing (50+ datasets).
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OgbBenchmark datasets, data loaders, and evaluators for graph machine learning
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DoccanoOpen source annotation tool for machine learning practitioners.
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AudinoOpen source audio annotation tool for humans™
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Pytorch UnetSimple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
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AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Stars: ✭ 9,353 (+26622.86%)
EasyprAn easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
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Wbc segmentaionWhite Blood Cell Image Segmentation Using Deep Convolution Neural Networks
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Projects🪐 End-to-end NLP workflows from prototype to production
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Label StudioLabel Studio is a multi-type data labeling and annotation tool with standardized output format
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Awesome Holistic 3dA list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision
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Midv 500 ModelsModel for document segmentation trained on the midv-500-models dataset.
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Crfasrnn kerasCRF-RNN Keras/Tensorflow version
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U NetU-Net: Convolutional Networks for Biomedical Image Segmentation
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TernausnetUNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
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Dr.sure🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。
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HealthcheckHealth Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
Stars: ✭ 35 (+0%)
Commons⛲️ Commons Marketplace client & server to explore, download, and publish open data sets in the Ocean Protocol Network.
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Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
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