WhylogsProfile and monitor your ML data pipeline end-to-end
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ChineseblueChinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)
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Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
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Nas Bench 201NAS-Bench-201 API and Instruction
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Sensaturban🔥Urban-scale point cloud dataset (CVPR 2021)
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Shape Detection🟣 Object detection of abstract shapes with neural networks
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PbaEfficient Learning of Augmentation Policy Schedules
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Covid CtCOVID-CT-Dataset: A CT Scan Dataset about COVID-19
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Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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AutomlGoogle Brain AutoML
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Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
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AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
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Ios Coreml MnistReal-time Number Recognition using Apple's CoreML 2.0 and MNIST -
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Raccoon datasetThe dataset is used to train my own raccoon detector and I blogged about it on Medium
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Dsprites DatasetDataset to assess the disentanglement properties of unsupervised learning methods
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Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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ModelsDLTK Model Zoo
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Imagenetv2A new test set for ImageNet
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ContactposeLarge dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
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Know Your IntentState of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
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Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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ObjectronObjectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
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Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
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LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
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CodefunDataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL
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PytorchPyTorch tutorials A to Z
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Pratik Derin Ogrenme UygulamalariÇeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
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Tehran StocksA python package to access tsetmc data
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DatasetsA repository of pretty cool datasets that I collected for network science and machine learning research.
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ModelsA collection of pre-trained, state-of-the-art models in the ONNX format
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SuperviselyAI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely
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PylightgbmPython binding for Microsoft LightGBM
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BlogscriptsRepository for code used in my blog posts
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Ccf2016 sougouccf2016 sougou final winner solution
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Cc150《程序员面试金典》(cc150)
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Gtc2017 NumbaNumba tutorial for GTC 2017 conference
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Dota DoaiThis repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
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Nlp fundamentals📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP
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Kaggle criteo ctr challengeThis is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
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Mml BookCode / solutions for Mathematics for Machine Learning (MML Book)
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