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awesome-machine-learning-engineering

A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning engineering.
https://github.com/d18s/awesome-machine-learning-engineering

Last synced: 1 day ago
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Example pipelines
Best practice
Big data on a single machine / on the command line
Software
- Managing building and deploying models
  - kubeflow
  - mlflow
  - datmo
- Managing building models
  - Luigi
  - Azkaban
  - Pinball
  - Airflow
- Deploying models
  - Serving - performance serving system for machine learning models (Google)
  - deepdetect
  - clipper - latency prediction-serving system (Berkeley)
  - MLeap
  - openscoring - time scoring (<1 ms) of R, Scikit-Learn and Apache Spark models (openscoring)
  - hydro-serving - Machine Learning Serving cluster (hydrosphere.io)
  - mxnet-model-server
- Serialising and transpiling models
  - jpmml-sklearn - line application for converting Scikit-Learn pipelines to PMML
  - sklearn2pmml - Learn pipelines to PMML
  - sklearn-porter - learn estimators to C, Java, JavaScript and others
  - Predictive Model Markup Language
- Monitoring models
  - Knowledge Repo - generation curated knowledge sharing platform for data scientists and other technical professions.
- Google Cloud
  - ML Engine - learn and XGBoost to the cloud"
- AWS
  - Data Pipeline
  - Glue
  - Simple Workflow
  - Batch
  - Machine Learning - based service that makes it easy for developers of all skill levels to use machine learning technology"
  - Sagemaker
Related awesome lists
- Azure
Where to start
- A Few Useful Things to Know about Machine Learning
Data
Conference tracks and workshops

Programming Languages

Python 10 Java 4 C++ 3 Mustache 1 Scala 1 JavaScript 1 TypeScript 1 Jupyter Notebook 1

Categories

Example pipelines 79 Software 26 Big data on a single machine / on the command line 8 Conference tracks and workshops 8 Best practice 6 Related awesome lists 3 Data 3 Where to start 1

Sub Categories

Deploying models 7 AWS 6 Serialising and transpiling models 4 Managing building models 4 Managing building and deploying models 3 Azure 3 Monitoring models 1 Google Cloud 1

Keywords

machine-learning 7 data-science 5 python 5 scikit-learn 5 tensorflow 4 deep-learning 4 workflow 3 serving 2 ml 2 spark 2 neural-network 2 data-pipelines 2 xgboost 2 workflow-engine 2 scheduling 2 deep-neural-networks 1 cpp 1 azkaban 1 caffe 1 gpu 1 image-classification 1 image-search 1 image-segmentation 1 ncnn 1 neural-nets 1 object-detection 1 pytorch 1 collaborative 1 production 1 dask 1 numpy 1 pandas 1 pydata 1 scipy 1 google-kubernetes-engine 1 jupyter 1 kubeflow 1 kubernetes 1 minikube 1 notebook 1 artificial-intelligence 1 reproducibility 1 version-control 1 hadoop 1 luigi 1 data-analysis 1 knowledge 1 awesome-list 1 airflow 1 apache 1