2,339 skills found · Page 5 of 78
Paulescu / Image Classification With Local VlmsLearn to build and deploy local Visual Language Models for Edge AI
udacity / ML SageMaker StudiesCase studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
microsoft / Vs Tools For AIVisual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.
FocoosAI / Focoos🚀 Lightning-fast computer vision models. Fine-tune SOTA models with just a few lines of code. Ready for cloud ☁️ and edge 📱 deployment.
Unity-Technologies / Robotics Object Pose EstimationA complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
microsoft / Vscode Tools For AIAzure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
openfoundry-ai / Model ManagerModel Manager is a Python package that simplifies the process of deploying an open source AI model to your own cloud.
kubeflow / FairingPython SDK for building, training, and deploying ML models
Hale423 / CenterPointTensorRT deployment for CenterPoint Lidar Detection Model.
ohmeow / BlurrA library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.
ensemble-core / NdLinearNdLinear by Ensemble is a drop-in PyTorch module that shrinks your models with no accuracy loss. It powers the Ensemble Platform—upload any model and get back a smaller, faster version, ready to deploy. Export to all frameworks (ONNX, TensorRT, SNPE, and more). Try it now → https://app.ensemblecore.ai/signup
llSourcell / How To Deploy A Keras Model To ProductionThis is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
Media-Smart / Volksdepvolksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
GetSoloTech / Solo CliCLI for Physical AI Skill Models
llSourcell / How To Deploy A Tensorflow Model In ProductionThis is the code for the "How to Deploy a Tensorflow Model in Production" by Siraj Raval on YouTube
guojin-yan / YoloDeployCsharpDeploying Yolov8-det, Yolov8-pose, Yolov8-cls, and Yolov8-seg models based on C # programming language.
physhik / Ecg Mit BihECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
deepjavalibrary / Djl ServingA universal scalable machine learning model deployment solution
unruledboy / DevelopmentStackSystem development basics, analysis, project/planning, documentation, wireframe/mockup, design/modeling, implementation, quality, management, build, testing, deployment, maintenance, troubleshooting, learning
archd3sai / Customer Survival Analysis And Churn PredictionIn this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
