446 skills found · Page 1 of 15
GokuMohandas / Made With MLLearn how to develop, deploy and iterate on production-grade ML applications.
mlc-ai / Mlc LlmUniversal LLM Deployment Engine with ML Compilation
tensorflow / TfjsA WebGL accelerated JavaScript library for training and deploying ML models.
Netflix / MetaflowBuild, Manage and Deploy AI/ML Systems
GokuMohandas / Mlops CourseLearn how to design, develop, deploy and iterate on production-grade ML applications.
tensorflow / Tflite MicroInfrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
tensorflow / TfxTFX is an end-to-end platform for deploying production ML pipelines
google-ai-edge / LiteRTLiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
tensorflow / Model OptimizationA toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
combust / MleapMLeap: Deploy ML Pipelines to Production
ebhy / BudgetmlDeploy a ML inference service on a budget in less than 10 lines of code.
The-AI-Summer / Deep Learning In ProductionBuild, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
tensorflow / Tfjs NodeTensorFlow powered JavaScript library for training and deploying ML models on Node.js.
iusztinpaul / Energy Forecasting🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Paulescu / Hands On Train And Deploy MlTrain and Deploy an ML REST API to predict crypto prices, in 10 steps
iterative / Mlem🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
farukalamai / Advanced Machine Learning Engineer Roadmap 2024A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
mrdbourke / Cs329s Ml Deployment TutorialCode and files to go along with CS329s machine learning model deployment tutorial.
udacity / Sagemaker DeploymentCode and associated files for the deploying ML models within AWS SageMaker
tensorflow / Tflite SupportTFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
