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54 search results found

Mlflow ⭐ 16,343

Open source platform for the machine learning lifecycle

Nlp Recipes ⭐ 6,321

Natural Language Processing Best Practices & Examples

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.

Mlserver ⭐ 562

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Machine_learning_and_deep_learning ⭐ 492

Data On Eks ⭐ 439

DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS

Mlops Platforms ⭐ 308

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

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Mlflow Docker ⭐ 205

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Whitebox ⭐ 184

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

Automated Tool for Optimized Modelling

Deep_autoviml ⭐ 117

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Incremental_training ⭐ 96

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

Mlflow Easyauth ⭐ 77

Deploy MLflow with HTTP basic authentication using Docker

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

Ml Pipeline ⭐ 74

Using Kafka-Python to illustrate a ML production pipeline

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.

Dstoolkit Mlops Databricks ⭐ 58

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

Sync your ML data with your favorite productivity tools!

Mlflow Docker Compose ⭐ 52

Deploy mlflow with docker-compose

Comet For Mlflow ⭐ 52

Comet-For-MLFlow Extension

Mnist Mlops Learning ⭐ 51

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

Mlflow Tracking Server ⭐ 51

MLFLow Tracking Server based on Docker and AWS S3

Azure Databricks Mlops Mlflow ⭐ 44

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

Azure Databricks ⭐ 37

Azure Databricks - Advent of 2020 Blogposts

A minimalistic and pluggable machine learning platform for Kubernetes.

Ml Workflow ⭐ 35

A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.

Mlflow Server ⭐ 34

MLflow Tracking Server with basic auth deployed in AWS App Runner.

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.

Five Minute Midas ⭐ 32

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

Mlf Core ⭐ 31

CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

Mlflow Gocd ⭐ 28

GoCD plugins to work with MLFlow as model repository in a CD flow

Ml Azuredatabricks ⭐ 24

Collection of Machine Learning Examples for Azure Databricks

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

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.

Tools for Optuna, MLflow and the integration of both.

Kubeflow Installation On Windows 10 ⭐ 15

Kubeflow installation on windows 10/11

Mlflow_tutorial ⭐ 13

Managing machine learning life-cycle with MLflow tutorial

Scaling Machine Learning Course ⭐ 12

Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machine Learning with Spark

Samay_yantra ⭐ 11

Stolen programs from Rohit Mehra's Time Machine from Krish(2006) for future weather prediction at Beutenberg

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

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

Prinz provides ML integrations for Nussknacker.

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.

Ml Ops Kafka ⭐ 8

Kafka variant of the MLOps Level 1 stack

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

Predicting Fraud In Financial Payment Services ⭐ 7

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

Mlflow Docker Image

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.

Mlops Course ⭐ 6

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

Yt Watch History ⭐ 6

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

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

Mlpipeline ⭐ 6

A framework to consolidate ML workflows

Employee Retention Databricks Kubernetes Poc ⭐ 6

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

Bodywork Mlflow ⭐ 5

Deploy MLflow to Kubernetes using Bodywork

TanD - Train and Deploy is a no-code framework to automatize the Machine Learning workflow.

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