Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Keras Flask Deploy Webapp | 1,155 | a month ago | apache-2.0 | JavaScript | ||||||
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes. | ||||||||||
How_to_deploy_a_keras_model_to_production | 265 | 4 years ago | 12 | gpl-3.0 | Python | |||||
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube | ||||||||||
Volksdep | 214 | 3 years ago | 2 | apache-2.0 | Python | |||||
volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT. | ||||||||||
Model_deployment | 149 | a year ago | 7 | C++ | ||||||
sample model deployment code | ||||||||||
Ai Deployment | 116 | 3 years ago | apache-2.0 | Jupyter Notebook | ||||||
关注AI模型上线、模型部署 | ||||||||||
Keras Sd Serving | 80 | a year ago | apache-2.0 | Jupyter Notebook | ||||||
showing various ways to serve Keras based stable diffusion | ||||||||||
Deploy To Kubernetes | 49 | 5 years ago | 9 | February 25, 2019 | 1 | apache-2.0 | Shell | |||
Deploy a distributed AI stack to a multi-host or single-host Kubernetes cluster on CentOS 7 and also works on AWS - and comes with: cert-manager + redis-cluster + rook-ceph for persistent storage + minio s3 object store + splunk + optional external dns server + affinity examples - validated with K8 version 1.13.4 :hammer: :wrench: :cloud: | ||||||||||
Deploy Ml Model | 28 | 5 years ago | Dart | |||||||
Rgb Color Classifier With Deep Learning Using Keras And Tensorflow | 27 | a year ago | 21 | mit | Jupyter Notebook | |||||
RGB Color Classifier is a Web App that can Predict upto 11 Distinct Color Classes based on RGB input by the User from GUI sliders | ||||||||||
Max Inception Resnet V2 | 25 | 3 years ago | 1 | apache-2.0 | Python | |||||
Identify objects in images using a third-generation deep residual network. |