deploy-hf-tf-vision-models

TFaaS

TensorFlow as a Service, a general purpose framework to serve TF models.

ViT-jax2tf

This repository hosts code for converting the original Vision Transformer models (JAX) to TensorF...

mlops-hf-tf-vision-models

MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)

quick-deploy

Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. ...

serving

A flexible, high-performance serving system for machine learning models

ml-deployment-k8s-fastapi

This project shows how to serve an ONNX-optimized image classification model as a web service wit...

tf-serving-k8s-tutorial

A Tutorial for Serving Tensorflow Models using Kubernetes

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-b...

Continuous-Adaptation-for-Machine-Learning-System-to-Data-Changes

https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed ...

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reprod...

mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

semantic-segmentation-ml-pipeline

textual-inversion-pipeline

Dual-Deployments-on-Vertex-AI

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).