Alternatives and similar repositories for notebooks-ci-showcase:

Users that are interested in notebooks-ci-showcase are comparing it to the libraries listed below

• gclouduniverse / JupyterNotebooksDevelopmentManifesto
  ☆49Updated 6 years ago
• gclouduniverse / gcp-notebook-executor
  This repository contains the logic that can be used to schedule notebook execution on the Google Compute Engine DLVM
  ☆27Updated 3 years ago
• amygdala / code-snippets
  Small Google Cloud Platform examples and code snippets.
  ☆155Updated 2 years ago
• Fematich / mlengine-boilerplate
  Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):
  ☆64Updated 6 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 2 years ago
• mchrestkha / machine_learning_examples
  ☆11Updated 7 months ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 3 years ago
• GoogleCloudPlatform / ai-notebooks-extended
  ☆22Updated 3 years ago
• yu-iskw / google-cloud-deep-learning-kit
  Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
  ☆39Updated 7 years ago
• h2oai / article-information-2019
  Article for Special Edition of Information: Machine Learning with Python
  ☆13Updated 3 months ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• minerva-ml / steppy-examples
  Examples and tutorials to the steppy library
  ☆21Updated 6 years ago
• GoogleCloudPlatform / dataflow-prediction-example
  ☆84Updated 6 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• Wrosinski / keraspipelines
  Pipelines for Keras Deep Learning Library
  ☆17Updated 7 years ago
• GoogleCloudPlatform / cloudml-dist-mnist-example
  ☆83Updated 5 years ago
• JovianHQ / kernel-run
  Run any Jupyter notebook instantly using Kaggle kernels
  ☆63Updated 5 years ago
• harkous / production_ml
  A Guide to Scaling Machine Learning Models in Production
  ☆88Updated 7 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• googledatalab / pydatalab
  Google Datalab Library
  ☆192Updated 2 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆34Updated 8 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• neptune-ai / neptune-mlflow
  Neptune - MLflow integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.
  ☆32Updated last year
• Paperspace / fastai-docker-deprecated
  Fast.AI course complete docker container for Paperspace and Gradient
  ☆47Updated 6 years ago
• jarokaz / vertex-ai-workshop
  ☆2Updated 2 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• gradescope / fsdl-text-recognizer-project
  Full Stack Deep Learning August 2018 Bootcamp Project (Public)
  ☆40Updated 3 years ago
• rapidsai / plotly-dash-rapids-census-demo
  ☆95Updated last year
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 8 years ago
• whiteboxml / teaching-ml-in-production
  ☆54Updated 2 years ago