chitraA multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Stars: β 210 (+130.77%)
BentomlModel Serving Made Easy
Stars: β 3,064 (+3267.03%)
galleryBentoML Example Projects π¨
Stars: β 120 (+31.87%)
Label StudioLabel Studio is a multi-type data labeling and annotation tool with standardized output format
Stars: β 7,264 (+7882.42%)
hubPublic reusable components for Polyaxon
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mlops.toysπ² A curated list of MLOps projects, tools and resources
Stars: β 169 (+85.71%)
imannotateImage annotation tool to make Machine Learning or others stuffs
Stars: β 44 (-51.65%)
mybabeMyBB CAPTCHA Solver using Convolutional Neural Network in Keras
Stars: β 18 (-80.22%)
hi-mlHI-ML toolbox for deep learning for medical imaging and Azure integration
Stars: β 150 (+64.84%)
ModelDeploymentCRAN Task View: Model Deployment with R
Stars: β 19 (-79.12%)
MixNet-PyTorchConcise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
Stars: β 16 (-82.42%)
popmonMonitor the stability of a Pandas or Spark dataframe βοΈ
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pytorch-slim-cnnA pytorch implementation of SlimCNN for Facial Attribute Classification : https://arxiv.org/abs/1907.02157
Stars: β 30 (-67.03%)
monai-deployMONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Stars: β 56 (-38.46%)
Computer Vision Guideπ This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Stars: β 244 (+168.13%)
fdp-modelserverAn umbrella project for multiple implementations of model serving
Stars: β 47 (-48.35%)
Googlenet InceptionTensorFlow implementation of GoogLeNet and Inception for image classification.
Stars: β 230 (+152.75%)
fusemlFuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.
Stars: β 73 (-19.78%)
shake-drop pytorchPyTorch implementation of shake-drop regularization
Stars: β 50 (-45.05%)
Ml Classifier UiA UI tool for quickly training image classifiers in the browser
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kedro-airflow-k8sKedro Plugin to support running pipelines on Kubernetes using Airflow.
Stars: β 22 (-75.82%)
head-network-distillation[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
Stars: β 27 (-70.33%)
UniFormer[ICLR2022] official implementation of UniFormer
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metaflowbotSlack bot for monitoring your Metaflow flows!
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VickyBytesSubscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!
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LibFewShotLibFewShot: A Comprehensive Library for Few-shot Learning.
Stars: β 629 (+591.21%)
qaboardAlgorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.
Stars: β 48 (-47.25%)
aml-registermodelGitHub Action that allows you to register models to your Azure Machine Learning Workspace.
Stars: β 14 (-84.62%)
SimMIMThis is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Stars: β 717 (+687.91%)
SCLπ Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
Stars: β 42 (-53.85%)
subwAIScripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
Stars: β 86 (-5.49%)
PyramidnetPytorch implementation of pyramidnet
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aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Stars: β 134 (+47.25%)
metric-transfer.pytorchDeep Metric Transfer for Label Propagation with Limited Annotated Data
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Wildcat.pytorchPyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017
Stars: β 238 (+161.54%)
Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
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CatalystAccelerated deep learning R&D
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jpetstore-kubernetesModernize and Extend: JPetStore on IBM Cloud Kubernetes Service
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Nfnets PytorchNFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch
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pytorch-cifar-model-zooImplementation of Conv-based and Vit-based networks designed for CIFAR.
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Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Stars: β 217 (+138.46%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: β 212 (+132.97%)
mltraceCoarse-grained lineage and tracing for machine learning pipelines.
Stars: β 449 (+393.41%)
LabelimgποΈ LabelImg is a graphical image annotation tool and label object bounding boxes in images
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domino-researchProjects developed by Domino's R&D team
Stars: β 74 (-18.68%)