Here are
74 public repositories
matching this topic...
The Unified Model Serving Framework 🍱
Updated
Mar 3, 2022
Python
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Machine Learning automation and tracking
Updated
Mar 3, 2022
Python
Model Deployment at scale on Kubernetes 🦄️
Updated
Mar 3, 2022
TypeScript
FastAPI Skeleton App to serve machine learning models production-ready.
Updated
Jun 10, 2021
Python
Code samples for the Lightbend tutorial on writing microservices with Akka Streams, Kafka Streams, and Kafka
Updated
May 30, 2019
Scala
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Updated
Feb 21, 2022
Python
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Updated
Dec 14, 2021
Java
A scalable, high-performance serving system for federated learning models
Updated
Jan 25, 2022
Java
BentoML Sample Projects Gallery 🎨
Updated
Mar 1, 2022
Jupyter Notebook
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
Serving PyTorch models with TorchServe 🔥
Updated
Feb 28, 2021
Jupyter Notebook
Code and presentation for Strata Model Serving tutorial
Updated
Sep 26, 2019
Scala
A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine
Updated
Feb 19, 2022
Python
Deploy DL/ ML inference pipelines with minimal extra code.
Updated
Jan 24, 2022
Python
A collection of model deployment library and technique.
An umbrella project for multiple implementations of model serving
Updated
Sep 18, 2017
Scala
fastText model serving service
Updated
Jan 25, 2022
Rust
Serving TensorFlow models with TensorFlow Serving 📙
Updated
Jan 25, 2022
Jupyter Notebook
Kubeflow example of machine learning/model serving
Updated
Jan 11, 2020
Jupyter Notebook
A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
Updated
Dec 15, 2021
Jupyter Notebook
Updated
Oct 4, 2017
Python
mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.
Updated
Feb 11, 2022
Python
Lightweight and customizable open source machine learning platform for Kubernetes.
Updated
Feb 25, 2022
Python
Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+
Updated
Nov 15, 2021
Python
ClearML - Model-Serving Orchestration and Repository Solution
Updated
Dec 22, 2021
Python
Generic Model Serving Implementation leveraging Flink
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Add a sample of MMS using a custom model server similar to sklearn and triton that will reside [in