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Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Optscale ⭐ 854

MLOps and FinOps platform to run ML/AI experiments and regular cloud workloads with optimal performance and cost.

Machine_learning_and_deep_learning ⭐ 492

Mlops Platforms ⭐ 308

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.

Whitebox ⭐ 184

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Kedro Mlflow ⭐ 175

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Yet Another Lightning Hydra Template ⭐ 129

Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

The repository contains a list of projects which I will work on while learning and implementing MLOps.

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.

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.

Domino Research ⭐ 59

Projects developed by Domino's R&D team

Dstoolkit Mlops Databricks ⭐ 58

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

Mnist Mlops Learning ⭐ 51

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Azure Databricks Mlops Mlflow ⭐ 44

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

Ml_exp_tracking_benchmark ⭐ 38

Evaluate wandb, tensorboard, neptune, mlflow, etc

A minimalistic and pluggable machine learning platform for Kubernetes.

Serving Machine Learning Models ⭐ 33

This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.

Awesome Mlops ⭐ 30

All the available resources to master MLOPS from scratch

Vevestax ⭐ 24

2 Lines of code to track ML experiments + EDA + check into Github

End To End Automl Insurance ⭐ 23

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

Mlops Best Practices ⭐ 23

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

Cartpole Rl Remote ⭐ 22

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

Kedro Mlflow Tutorial ⭐ 21

A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and serve kedro pipeline

Oci Mlflow ⭐ 18

The Oracle Cloud Infrastructure (OCI) MLflow plugin empowers users of OCI by providing seamless integration with OCI resources, allowing them to effectively manage the entire life cycle of their machine learning use cases.

Mlops Lab Example Yelp ⭐ 16

MLOps Lab Example using PyTorch to predict Yelp Reviews

Fastapi Mlflow ⭐ 15

Deploy mlflow models as JSON APIs with minimal new code

Kubeflow Installation On Windows 10 ⭐ 15

Kubeflow installation on windows 10/11

Databricks Kubernetes Online Inference Poc ⭐ 10

End-to-end proof of concept showing core MLOps practices to develop, deploy and monitor a machine learning model for online inference scenarios using Databricks and Kubernetes on Microsoft Azure.

Liga: Let Data Dance with ML Models

Ml Ops Kafka ⭐ 8

Kafka variant of the MLOps Level 1 stack

Open-source tool for tracking & monitoring machine learning models.

Mlops Engineering In Action ⭐ 8

Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson

Tmls Workshop ⭐ 8

Toronto Machine Learning MLflow Workshop

Mlflow Deployments ⭐ 8

Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.

Predicting Fraud In Financial Payment Services ⭐ 7

Build and deploy a model that predicts whether a transaction is a fraud or not

End2endautomaticspeechrecognition ⭐ 7

In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

Bigbertha ⭐ 7

BigBertha is an architecture design that demonstrates how automated LLMOps (Large Language Models Operations) can be achieved on any Kubernetes cluster using open source container-native technologies 🌟

Yt Watch History ⭐ 6

Analyse your YouTube watch history using Data Science, ML and NLP.

Mlops Course ⭐ 6

This repository teaches how to train, evaluate and deploy ML models using MLFlow

End to End toy example of MLOps

mlflow container setup for docker, docker compose and kubernetes including helm chart

Bodywork Mlflow ⭐ 5

Deploy MLflow to Kubernetes using Bodywork

Full Machine Learning Lifecycle using Airflow, MLflow, and AWS S3

Awesome Mlops Course Outline ⭐ 5

Awesome MLOps Course Outline

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