Top 92 mlops open source projects

CartPole game by Reinforcement Learning, a journey from training to inference

✭ 24

python Makefile shell machine-learning reinforcement-learning qlearning tensorflow keras kubernetes-cluster pytorch artificial-intelligence cartpole keras-neural-networks seldon polyaxon kubeflow seldon-core mlops mlflow

charts

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

✭ 32

Smarty shell python Mustache kubernetes distributed-systems machine-learning deep-learning tensorflow helm scikit-learn pytorch k8s helm-charts polyaxon helm-chart gitops mlops

benderopt

Black-box optimization library

✭ 84

Jupyter Notebook python machine-learning deep-learning optimization automl hyperparameter-search mlops

mlreef

The collaboration workspace for Machine Learning

✭ 1,409

kotlin javascript python SCSS shell ruby data-science machine-learning deep-learning mxnet tensorflow models machine-learning-algorithms pytorch artificial-intelligence deeplearning reproducibility mlops mlops-environment

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22:

✭ 501

python Dockerfile C++shell c HTML api cli productivity open-source workflow devops machine-learning automation cross-platform portable plugins systems artifacts reuse reproducibility modularization mlops

neptune-client

📒 Experiment tracking tool and model registry

✭ 348

python visualization learning monitoring repository tensorflow optimization logger machine logging keras ml pytorch versioning comparison xgboost lightgbm rl dl mlops optuna

actions-ml-cicd

A Collection of GitHub Actions That Facilitate MLOps

✭ 181

Jupyter Notebook python kubernetes devops data-science machine-learning argo ml-infrastructure machine-learning-platform mlops ml-ops

cli

Polyaxon Core Client & CLI to streamline MLOps

✭ 18

python kubernetes data-science machine-learning deep-learning tensorflow scikit-learn ml pytorch dataops hyperparameter-optimization workflows mlops

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.

✭ 105

go Makefile shell devops machine-learning airflow artificial-intelligence datascience infrastructure-as-code notebooks kubeflow mlops mlflow

great expectations action

A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.

✭ 66

Jupyter Notebook shell python CSS Dockerfile data-science continuous-integration actions data-quality data-integrity mlops

Python-MLOps-Cookbook

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

✭ 269

Jupyter Notebook python shell cookbook mlops

mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

✭ 170

python data-science machine-learning feature-selection mlops

chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

✭ 210

python visualization machine-learning deep-learning tensorflow image-processing pytorch image-classification image-dataset object-detection hacktoberfest bounding-boxes model-interpretation model-deployment model-serving model-visualization gradcam mlops fastapi

serving-pytorch-models

Serving PyTorch models with TorchServe 🔥

✭ 91

Jupyter Notebook machine-learning pytorch image-classification model-deployment model-serving pytorch-cnn mlops torchserve serve-pytorch

qaboard

Algorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.

✭ 48

javascript python Dockerfile CSS shell HTML performance-engineering algorithms visualizations mlops continuous-quality

monai-deploy

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

mlops-case-study

MLOps Case Study

✭ 23

machine-learning awesome datascience mlops ml-engineering

fuseml

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.