Here are
50 public repositories
matching this topic...
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Updated
Feb 14, 2021
Python
Code samples for the Lightbend tutorial on writing microservices with Akka Streams, Kafka Streams, and Kafka
Updated
May 30, 2019
Scala
FastAPI Skeleton App to serve machine learning models production-ready.
Updated
Aug 29, 2020
Python
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Updated
Feb 13, 2021
Java
flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine
Updated
May 9, 2019
Scala
A scalable, high-performance serving system for federated learning models
Code and presentation for Strata Model Serving tutorial
Updated
Sep 26, 2019
Scala
An umbrella project for multiple implementations of model serving
Updated
Sep 18, 2017
Scala
fastText model serving service
Updated
Jan 16, 2021
Rust
Serving PyTorch models with TorchServe 🔥
Updated
Feb 11, 2021
Jupyter Notebook
BentoML Example Projects Gallery
Updated
Feb 14, 2021
Jupyter Notebook
Deploy DL/ ML inference pipelines with minimal extra code.
Updated
Oct 28, 2020
Python
Updated
Oct 4, 2017
Python
A collection of model deployment library and technique.
mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.
Updated
Dec 11, 2020
Python
Kubeflow example of machine learning/model serving
Updated
Jan 11, 2020
Jupyter Notebook
Generic Model Serving Implementation leveraging Flink
Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
Updated
Sep 23, 2020
Python
Production ready templates for deploying Driverless AI (DAI) scorers.
Updated
Jan 28, 2021
Java
Updated
Jan 6, 2018
Scala
Implementation of Model serving in pipelines
Updated
Nov 11, 2019
Scala
Updated
Oct 21, 2020
Jupyter Notebook
Speculative model serving with Flink
Updated
Sep 24, 2018
Scala
ML model serving service.
Experimental implementation of speculative model serving
Updated
May 30, 2019
Scala
Tensorflow Serving with Docker / Docker Compose
Updated
Jan 27, 2020
Python
Serving the deep learning models easily.
Updated
Jul 14, 2020
Python
Improve this page
Add a description, image, and links to the
model-serving
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
model-serving
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
Deploy kfserving v0.3.0 and sample app
I have k8s cluster with enabled PSP and ImagePullAlways plugin
https://kubernetes.io/docs/reference/access-authn-authz/admission-controllers/
After all kservice isn't working