aml-deployGitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
Stars: ✭ 37 (+164.29%)
aml-computeGitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
Stars: ✭ 19 (+35.71%)
aml-workspaceGitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
Stars: ✭ 22 (+57.14%)
Label StudioLabel Studio is a multi-type data labeling and annotation tool with standardized output format
Stars: ✭ 7,264 (+51785.71%)
FaceLivenessDetection-SDK3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).
Stars: ✭ 85 (+507.14%)
customersCustomer registry supporting Know Your Customer (KYC), Customer Identification Program (CIP), and OFAC checks
Stars: ✭ 59 (+321.43%)
kedroA Python framework for creating reproducible, maintainable and modular data science code.
Stars: ✭ 6,068 (+43242.86%)
az-ml-batch-scoreDeploying a Batch Scoring Pipeline for Python Models
Stars: ✭ 17 (+21.43%)
mlops-with-vertex-aiAn end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Stars: ✭ 155 (+1007.14%)
amazon-sagemaker-model-serving-using-aws-cdkThis repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.
Stars: ✭ 23 (+64.29%)
adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
Stars: ✭ 110 (+685.71%)
Awesome MlopsA curated list of references for MLOps
Stars: ✭ 7,119 (+50750%)
hi-mlHI-ML toolbox for deep learning for medical imaging and Azure integration
Stars: ✭ 150 (+971.43%)
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Stars: ✭ 2,966 (+21085.71%)
support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Stars: ✭ 142 (+914.29%)
beneathBeneath is a serverless real-time data platform ⚡️
Stars: ✭ 65 (+364.29%)
merlinKubernetes-friendly ML model management, deployment, and serving.
Stars: ✭ 92 (+557.14%)
galleryBentoML Example Projects 🎨
Stars: ✭ 120 (+757.14%)
watchmanAML/CTF/KYC/OFAC Search of global watchlist, sanctions, and politically exposed person (PEP)
Stars: ✭ 167 (+1092.86%)
combinatorCombinator.ml's central repo, documentation and website
Stars: ✭ 24 (+71.43%)
SeeingAI-Currency-DetectionThis repository contains the code for the blogpost: How to Develop a Currency Detection Model using Azure Machine Learning
Stars: ✭ 39 (+178.57%)
vertex-ai-samplesSample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Stars: ✭ 270 (+1828.57%)
MLOpsMLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.
Stars: ✭ 28 (+100%)
FeastFeature Store for Machine Learning
Stars: ✭ 2,576 (+18300%)
ClearmlClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Stars: ✭ 2,868 (+20385.71%)
MadewithmlLearn how to responsibly deliver value with ML.
Stars: ✭ 29,253 (+208850%)
mlops.toys🎲 A curated list of MLOps projects, tools and resources
Stars: ✭ 169 (+1107.14%)
Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+45228.57%)
Metaflow🚀 Build and manage real-life data science projects with ease!
Stars: ✭ 5,108 (+36385.71%)
kedro-airflow-k8sKedro Plugin to support running pipelines on Kubernetes using Airflow.
Stars: ✭ 22 (+57.14%)
KedroA Python framework for creating reproducible, maintainable and modular data science code.
Stars: ✭ 4,764 (+33928.57%)
MachinelearningnotebooksPython notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Stars: ✭ 2,790 (+19828.57%)
HubDataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai
Stars: ✭ 4,003 (+28492.86%)
maritimechartservice-sample-viewerJavaScript example illustrating how to use the Maritime Chart Service functionality provided by ArcGIS for Maritime: Server.
Stars: ✭ 16 (+14.29%)
bert-as-a-service TFXEnd-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
Stars: ✭ 32 (+128.57%)
cressetTemplate repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Stars: ✭ 573 (+3992.86%)
domino-researchProjects developed by Domino's R&D team
Stars: ✭ 74 (+428.57%)
aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
Stars: ✭ 14 (+0%)
noronhaDataOps framework for Machine Learning projects.
Stars: ✭ 47 (+235.71%)
whylogs-examplesA collection of WhyLogs examples in various languages
Stars: ✭ 42 (+200%)
polystoresA library for performing hyperparameter optimization
Stars: ✭ 48 (+242.86%)
metaflowbotSlack bot for monitoring your Metaflow flows!
Stars: ✭ 22 (+57.14%)
flytekitExtensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
Stars: ✭ 82 (+485.71%)
BentomlModel Serving Made Easy
Stars: ✭ 3,064 (+21785.71%)
data-science-best-practicesThe goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
Stars: ✭ 53 (+278.57%)
Seldon CoreAn MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Stars: ✭ 2,815 (+20007.14%)
AI-on-Microsoft-AzureMicrosoft buduje i tworzy Polską Dolinę Cyfrową. W ramach tej inicjatywy podjęliśmy się wyzwania zbudowania chmurowych kompetencji wśród 150tys osób w Polsce. Jednym z elementów tej inicjatywy jest dedykowany kurs na studiach inzynierskich i magisterskich na Politechnice Warszawskiej poświęcony chmurze obliczeniowej oraz sztucznej inteligencji.
Stars: ✭ 11 (-21.43%)
krakenKraken CI is a continuous integration and testing system.
Stars: ✭ 87 (+521.43%)
popmonMonitor the stability of a Pandas or Spark dataframe ⚙︎
Stars: ✭ 434 (+3000%)
yoti-php-sdkThe PHP SDK for interacting with the Yoti Platform
Stars: ✭ 22 (+57.14%)
PipelinesMachine Learning Pipelines for Kubeflow
Stars: ✭ 2,607 (+18521.43%)