gclouduniverse / notebooks-ci-showcase
Fully Configured Example of CI/CD For Notebooks On Top Of GCP
☆22Updated 2 years ago
Related projects: ⓘ
- ☆49Updated 5 years ago
- Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker☆39Updated 6 years ago
- ☆13Updated this week
- ML model serving app based on APIs☆71Updated 2 years ago
- ☆64Updated this week
- ☆60Updated 2 years ago
- Sample Notebooks for PipelineAI☆44Updated last year
- Enterprise Solution for Text Classification (using BERT)☆10Updated last year
- Fast.AI course complete docker container for Paperspace and Gradient☆47Updated 5 years ago
- Examples and tutorials to the steppy library☆21Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentation☆134Updated 5 years ago
- Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle☆33Updated 8 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆99Updated 2 years ago
- This repository contains the logic that can be used to schedule notebook execution on the Google Compute Engine DLVM☆27Updated 2 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- ☆83Updated 4 years ago
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- Small Google Cloud Platform examples and code snippets.☆156Updated last year
- Full Stack Deep Learning August 2018 Bootcamp Project (Public)☆39Updated 2 years ago
- Dockerized ML Cookiecutter☆71Updated last year
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 2 years ago
- Neptune - MLflow integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.☆31Updated 9 months ago
- Simple Machine Learning Web API Example with Falcon☆50Updated 9 months ago
- The fast.ai data ethics course☆14Updated last year
- demos for PyBay talk: Using Randomness to make code faster☆50Updated 7 years ago
- ☆15Updated last year
- Article for Special Edition of Information: Machine Learning with Python☆13Updated 4 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 2 years ago
- Repository to quickly get you started with new Machine Learning projects on Google Cloud Platform. More info(slides):☆63Updated 5 years ago
- ☆11Updated 2 weeks ago