Alternatives and similar repositories for Gather-Deployment:

Users that are interested in Gather-Deployment are comparing it to the libraries listed below

• tobegit3hub / simple_tensorflow_serving
  Generic and easy-to-use serving service for machine learning models
  ☆757Updated 4 years ago
• hundredblocks / semantic-search
  Semantic search for images and words using neural networks.
  ☆202Updated 5 years ago
• himanshurawlani / keras-and-tensorflow-serving
  Deploying Keras models using TensorFlow Serving and Flask
  ☆121Updated 5 years ago
• vbezgachev / tf_serving_example
  Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure
  ☆211Updated 6 years ago
• jrosebr1 / simple-keras-rest-api
  A simple Keras REST API using Flask
  ☆374Updated 5 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆285Updated 10 months ago
• yu-iskw / tensorflow-serving-example
  Examples to server tensorflow models with tensorflow serving
  ☆98Updated 6 years ago
• llSourcell / kaggle_challenge
  This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube
  ☆121Updated 6 years ago
• epigramai / tfserving-python-predict-client
  Client used to send grcp requests to a tfserving model
  ☆78Updated 5 years ago
• CVxTz / image_search_engine
  Image search engine
  ☆236Updated 2 years ago
• GoogleCloudPlatform / tf-estimator-tutorials
  This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardi…
  ☆672Updated 5 months ago
• fpaupier / tensorflow-serving_sidecar
  Serve machine learning models using tensorflow serving
  ☆45Updated 3 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆516Updated 6 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• AlexIoannides / kubernetes-mlops
  MLOps tutorial using Python, Docker and Kubernetes.
  ☆383Updated 4 months ago
• vbezgachev / tf_serving_flask_app
  Creation of REST API for TensorFlow models hosted by TensorFlow Serving
  ☆103Updated 6 years ago
• RubensZimbres / Repo-2018
  Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageM…
  ☆173Updated 3 years ago
• waleedka / modern-deep-learning-docker
  Modern Deep Learning Docker Image
  ☆154Updated 5 years ago
• keras-team / governance
  Governance of the Keras API.
  ☆145Updated last year
• harkous / production_ml
  A Guide to Scaling Machine Learning Models in Production
  ☆88Updated 7 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 6 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆64Updated 7 months ago
• paraschopra / one-network-many-uses
  Four-in-one deep network: image search, image captioning, similar words and similar images using a single model
  ☆136Updated 5 years ago
• DeepSystems / supervisely-tutorials
  🌈 Tutorials for Supervise.ly
  ☆385Updated 6 years ago
• awslabs / multi-model-server
  Multi Model Server is a tool for serving neural net models for inference
  ☆1,005Updated 8 months ago
• sararob / keras-wine-model
  Model built with the Keras Functional API
  ☆83Updated 6 years ago
• oracle / graphpipe
  Machine Learning Model Deployment Made Simple
  ☆720Updated 6 years ago
• hiveml / simple-ml-serving
  Simple step-by-step guide to deploying deep learning models to production.
  ☆173Updated 7 years ago
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆127Updated last year
• ThomasDelteil / VisualSearch_MXNet
  Visual Search using Apache MXNet and gluon
  ☆236Updated 6 years ago