DELTA is a deep learning based natural language and speech processing platform.

Gathers scalable tensorflow and infrastructure deployment

👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

export bert model for serving

tensorflow prediction using c++ api

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

Open Toolkit for Painless Object Detection

Deploying Keras models using TensorFlow Serving and Flask

Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response

基于tensorflow & tf-servering & flask 的图像检索

Examples to server tensorflow models with tensorflow serving

YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

A Tutorial for Serving Tensorflow Models using Kubernetes

Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving

Code and presentation for Strata Model Serving tutorial

Building an image classifier in TF2

Bitnami Docker Image for TensorFlow Serving

A Scala binding of TensorFlow for Serving TensorFlow Models (Provides RESTful API)

Train, predict, export and reload a tf.estimator for inference

Example of using TensorFlow Serving with OpenFaaS

Implement some hair segmentation network

Serve machine learning models using tensorflow serving

NSFW classify model implemented with tensorflow.

Create a visual search engine using tensorflow serving, elasticsearch, vuejs and nginx.

End to End Machine Learning with Google Cloud Platform

bert sentiment analysis tensorflow serving with RESTful API

Serve TF models simple and easy as an HTTP API

Implement Tensor Flow Serving C# client example with gRPC. MNIST prediction console application and web paint ASP.NET Core 2.0 and ReactJS application.

Camera feed detecor using Tensorflow Detection API on a Tensorflow Serving Docker container. There is also a version using only YoloV3 to detect objects. All models are from the model zoo from Tensorflow and Darknet, these models are trained on the coco dataset.

Use BERT to train a classification model and deploy the model by tensorflow serving