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Search results for python mlops

312 search results found

Airdot Deployer ⭐ 22

Tool to take your ML model from local to production with one-line of code.

Cartpole Rl Remote ⭐ 22

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

Kannon is a wrapper for the gokart library that allows gokart tasks to be easily executed in a distributed and parallel manner on multiple kubernetes jobs.

Bodywork Ml Pipeline Project ⭐ 21

Deployment template for a continuous training pipeline.

Mlops_workshop ⭐ 21

See And Tell ⭐ 21

See and Tell | Assistant to Experience Video Content With Ears

Predict Covid 19 ⭐ 21

Predicts COVID-19 from PA view of X-ray when submitted on the website

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

Ml Workflow Automation ⭐ 20

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Mldevops ⭐ 20

ML DevOps using GitHub Actions and Azure Machine Learning

Inferencedb ⭐ 20

🚀 Stream inferences of real-time ML models in production to any data lake

Weeklycuration ⭐ 20

Interesting links I saw, every week

Manage audio and video databases

🦄 Unitxt: a python library for getting data fired up and set for training and evaluation

Twingraph ⭐ 19

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

Polyaxon Core Client & CLI to streamline MLOps

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.

Clearml Session ⭐ 18

ClearML Remote - CLI for launching JupyterLab / VSCode on a remote machine

Pipelime Python ⭐ 18

A swiss army knife for data processing!

MLup is framework for easy and fast run ML in production

Aml Compute ⭐ 18

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

Oreilly Transformers Nlp Mlops ⭐ 17

Session on MLOps

Aligned describes data dependencies in ML systems, and reduce technical data debt

From local functions to cloud deployed pipelines

Gamechanger Ml ⭐ 17

GAMECHANGER Machine Learning Repo

GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.

Explainit ⭐ 17

A modern, enterprise-ready business intelligence web application

Xpuls Ml Sdk ⭐ 17

Automatic Instrumentation for ML & LLM Frameworks

Smartpipeline ⭐ 16

A framework for rapid development of robust data pipelines following a simple design pattern

Vertex Edge ⭐ 16

A tool for training models to Vertex on Google Cloud Platform.

Quickly compare PyTorch models in a local, lightweight registry

Composable Logs ⭐ 16

Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documentation site with more details and demo:

Snapperml ⭐ 15

SnapperML is a framework for machine learning. It has many functionalities including scalability through docker instances and reproducibility.

Talk Demos ⭐ 15

Code & docs for Pipekit's talks

Common deep learning utils.

Lightweight and modular MLOps library targeted at small teams or individuals

Bootcamp Bringing Ml Models Into Production Intermediary Jun Aug2021 ⭐ 15

6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.

Kedro Neptune ⭐ 15

📌 Track & manage metadata, visualize & compare Kedro pipelines in a nice UI.

Fastapi Mlflow ⭐ 15

Deploy mlflow models as JSON APIs with minimal new code

Public Talks ⭐ 14

Slides, videos, and supporting files for my public talks

Azureml Mlops Example Scenarios ⭐ 14

Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.

Geniusrise ⭐ 13

Geniusrise: Framework for building geniuses

Datasette Ml ⭐ 13

A Datasette plugin providing an MLOps platform to train, eval and predict machine learning models

Aml Registermodel ⭐ 13

GitHub Action that allows you to register models to your Azure Machine Learning Workspace.

Kedro Serving ⭐ 13

A kedro-plugin to serve Kedro Pipelines as API

Metaflowbot ⭐ 13

Slack bot for monitoring your Metaflow flows!

Azure Automl Mlops ⭐ 13

Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning

Mlops Template ⭐ 13

This is the MLOps Github template.

Scale your ML workers asynchronously across processes and machines

Metaflow Card Notebook ⭐ 12

Render Jupyter Notebooks With Metaflow Cards

A Guide To Mlops ⭐ 11

A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.

Clean, reproducible, boilerplate-free deep learning project template.

Torchblaze ⭐ 10

A CLI-based python package that provides a suite of functionalities to perform end-to-end ML using PyTorch.

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.

Dslinter ⭐ 10

`dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas and NumPy.

Asteroid Classification ⭐ 10

Classifying asteroids based on NASA JPL data records

Drift detection module for machine learning pipelines.

Llmtracer ⭐ 10

Trace LLM calls (and others) and visualize them in WandB, as interactive SVG or using a streaming local webapp

ShopME: An E2E fashion recommendation System

Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)

Waffle_utils ⭐ 10

🧇Waffle Utils🧇 is a set of utilities for waffle components

Mlopsmanufacturing ⭐ 9

MLOps samples and docs from real world projects in manufacturing industry

Analyzing and scoring reasoning traces of LLMs

Liga: Let Data Dance with ML Models

Mlopssamples ⭐ 9

Samples for use with MLOps

Knowledge_distillation ⭐ 9

Ml Starter ⭐ 9

A template for quickly implementing ML ideas 🧠⚡

Bodywork Pymc3 Project ⭐ 8

Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

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

Framework for building ML apps

A quick guide on how to deploy TransGAN network on the cloud

Anomaly Detection Pipeline Kedro ⭐ 8

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

Neptune Optuna ⭐ 8

🚀 Optuna visualization dashboard that lets you log and monitor hyperparameter sweep live.

Ml Ops Kafka ⭐ 8

Kafka variant of the MLOps Level 1 stack

Clusterless ⭐ 8

Clusterless is a tool for scheduling decentralized, scalable, and secure data pipelines for continuously arriving data, across clouds.

Kedro Sagemaker ⭐ 8

Kedro Plugin to support running pipelines on AWS SageMaker.

Public reusable components for Polyaxon

Dataset Rising ⭐ 8

Toolchain for creating custom datasets and training Stable Diffusion (1.x, 2.x, XL) models and LoRAs

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.

Bodywork Serve Model Project ⭐ 7

Deployment template for serving a ML model as web-service with a REST API.

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 🌟

Transform your prototype AI code into production-ready software.

Text To Speech Service ⭐ 7

Pushing TTS models into production using torchserve, kubernetes and react web app 😄

Flyte Banana ⭐ 7

Predicting Fraud In Financial Payment Services ⭐ 7

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

Template Starter ⭐ 7

A template for a starter project for ZenML

Vertex Tfx Pipeline ⭐ 7

An example of TFX intended to work with Vertex AI in Google Cloud

Aws Lambda Deploy ⭐ 7

Fast model deployment on AWS Lambda

Kubeflow Gke Docs ⭐ 7

Documentation for Kubeflow on Google Cloud

Cookiecutter Neuro Project ⭐ 7

Neuro Platform Project Template

Machinealgobox ⭐ 6

Explore common ML algorithms, from scratch implementations to real-world use cases, Each algorithm is accompanied by clear explanations, code implementations, and real-world use cases, enabling you to grasp their underlying principles and apply them to different problem domains.

End to End toy example of MLOps

Yt Watch History ⭐ 6

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

Iot Device Identification ⭐ 6

This project contains the production ready Machine Learning(Deep Learning) solution for detecting and classifying an IoT device connecting the network

Mlops Starter Sklearn ⭐ 6

Azure Machine Learning と GitHub を利用した MLOps のサンプルコード

A type-aware, fsspec-based general artifact store client.

Using_chatgpt_kedro_streamlit_app ⭐ 6

Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend

Bodywork Batch Job Project ⭐ 6

Deployment template for batch-scoring a dataset with a pre-trained ML model.

Capstone 2023 22 ⭐ 6

세상의 소소한 문화행복 생활을 즐기다, 세소행

Neptune Sklearn ⭐ 6

Experiment tracking for scikit-learn. 🧩 Log, organize, visualize and compare model metrics, parameters, dataset versions, and more.

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