Monthly Workshop and Webinar
You must register on Eventbrite.
O'Reilly Book: Data Science on Amazon Web Services
Register directly on our website.
PipelineAI / pipeline
Licence: Apache-2.0 license
PipelineAI Kubeflow Distribution
Stars: ✭ 4,154
Programming Languages
Jsonnet
166 projects
java
68154 projects - #9 most used programming language
go
31211 projects - #10 most used programming language
python
139335 projects - #7 most used programming language
javascript
184084 projects - #8 most used programming language
typescript
32286 projects
Labels
Projects that are alternatives of or similar to pipeline
Production Level Deep Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Stars: ✭ 3,358 (-19.16%)
Mutual labels: kubeflow, tfx
nitroml
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
Stars: ✭ 40 (-99.04%)
Mutual labels: kubeflow, tfx
tfx-kubeflow-pipelines
Kubeflow pipelines built on top of Tensorflow TFX library
Stars: ✭ 17 (-99.59%)
Mutual labels: kubeflow, tfx
Deep Learning Wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Stars: ✭ 343 (-91.74%)
Mutual labels: cassandra, scikit-learn
k3ai
A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
Stars: ✭ 105 (-97.47%)
Mutual labels: airflow, kubeflow
Udacity Data Engineering Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Stars: ✭ 458 (-88.97%)
Mutual labels: airflow, cassandra
Data-Engineering-Projects
Personal Data Engineering Projects
Stars: ✭ 167 (-95.98%)
Mutual labels: airflow, cassandra
Udacity Data Engineering
Udacity Data Engineering Nano Degree (DEND)
Stars: ✭ 89 (-97.86%)
Mutual labels: airflow, cassandra
Airflow Chart
A Helm chart to install Apache Airflow on Kubernetes
Stars: ✭ 137 (-96.7%)
Mutual labels: airflow
Paperboy
A web frontend for scheduling Jupyter notebook reports
Stars: ✭ 221 (-94.68%)
Mutual labels: airflow
Beyond Jupyter
🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)
Stars: ✭ 135 (-96.75%)
Mutual labels: airflow
Data Science Stack Cookiecutter
🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)
Stars: ✭ 153 (-96.32%)
Mutual labels: airflow
Example Airflow Dags
Example DAGs using hooks and operators from Airflow Plugins
Stars: ✭ 243 (-94.15%)
Mutual labels: airflow
Airflow Autoscaling Ecs
Airflow Deployment on AWS ECS Fargate Using Cloudformation
Stars: ✭ 136 (-96.73%)
Mutual labels: airflow
lending-club
Applying machine learning to predict loan charge-offs on LendingClub.com
Stars: ✭ 39 (-99.06%)
Mutual labels: scikit-learn
Airflow Pipeline
An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR
Stars: ✭ 128 (-96.92%)
Mutual labels: airflow
notebooks
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:
Stars: ✭ 29 (-99.3%)
Mutual labels: scikit-learn
jupyterlab-kubeflow-kale
JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment
Stars: ✭ 17 (-99.59%)
Mutual labels: kubeflow
Airflow Scheduler Failover Controller
A process that runs in unison with Apache Airflow to control the Scheduler process to ensure High Availability
Stars: ✭ 204 (-95.09%)
Mutual labels: airflow
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].