Alternatives and similar repositories for tf-serving-k8s-tutorial

Users that are interested in tf-serving-k8s-tutorial are comparing it to the libraries listed below

• kubeflow / example-seldon
  Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
  ☆172Updated 4 years ago
• vbezgachev / tf_serving_flask_app
  Creation of REST API for TensorFlow models hosted by TensorFlow Serving
  ☆104Updated 7 years ago
• tensorlab / tensorfx
  TensorFlow framework for training and serving machine learning models
  ☆194Updated 8 years ago
• awslabs / deeplearning-benchmark
  ☆118Updated 2 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆105Updated 8 years ago
• vbezgachev / tf_serving_example
  Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
  ☆211Updated 7 years ago
• harkous / production_ml
  A Guide to Scaling Machine Learning Models in Production
  ☆88Updated 8 years ago
• zackchase / mxnet-slides
  Slides from MXNet tutorials
  ☆51Updated 7 years ago
• GoogleCloudPlatform / cloudml-dist-mnist-example
  ☆83Updated 6 years ago
• michaelulin / pytorch-caffe2-aws-lambda
  Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX
  ☆48Updated 8 years ago
• amygdala / code-snippets
  Small Google Cloud Platform examples and code snippets.
  ☆155Updated 2 years ago
• nicolov / gradient_boosting_tensorflow_xgboost
  Benchmarking Gradient Boosting in TensorFlow and XGBoost
  ☆138Updated 7 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 7 years ago
• krystianity / keras-serving
  bring keras-models to production with tensorflow-serving and nodejs + docker
  ☆152Updated 3 years ago
• avkash / mldl
  Machine Learning and Deep Learning Resources
  ☆232Updated 4 years ago
• polyaxon / polyaxon-quick-start
  A quick start project for polyaxon
  ☆29Updated last year
• Fematich / mlengine-boilerplate
  Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):
  ☆64Updated 7 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• shabazpatel / xgboost-model-api
  RESTful API hosting xgboost model
  ☆25Updated 8 years ago
• awslabs / dynamic-training-with-apache-mxnet-on-aws
  Dynamic training with Apache MXNet reduces cost and time for training deep neural networks by leveraging AWS cloud elasticity and scale. …
  ☆56Updated 3 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆71Updated 8 years ago
• dmlc / keras
  Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.
  ☆124Updated 7 years ago
• wagonhelm / Visualizing-Convnets
  How to build convolutional neural networks from scratch w/ Tensorflow
  ☆86Updated 7 years ago
• awslabs / keras-apache-mxnet
  [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support
  ☆288Updated 2 years ago
• crawles / spark-nba-analytics
  Analyzing NBA data using Spark 2.1
  ☆47Updated 8 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• awslabs / deeplearning-cfn
  Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow
  ☆252Updated 5 years ago
• dipanjanS / BerkeleyX-CS100.1x-Big-Data-with-Apache-Spark
  This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apach…
  ☆116Updated last year
• metaflow-ai / blog
  Technical blog repo of metaflow
  ☆165Updated 8 years ago