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97 search results found

Amazon Sagemaker Examples ⭐ 9,221

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Mlops Zoomcamp ⭐ 8,173

Free MLOps course from DataTalks.Club

Feast ⭐ 5,053

Feature Store for Machine Learning

Evidently ⭐ 4,348

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

God Level Data Science Ml Full Stack ⭐ 3,384

A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Ploomber ⭐ 3,318

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Deepchecks ⭐ 3,206

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Mlops Course ⭐ 2,427

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Phoenix ⭐ 1,983

AI Observability & Evaluation - Evaluate, troubleshoot, and fine tune your LLM, CV, and NLP models in a notebook.

Cube Studio ⭐ 1,710

cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对

Nannyml ⭐ 1,695

nannyml: post-deployment data science in python

Mlops ⭐ 1,427

Hands On Llms ⭐ 1,393

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Vertex Ai Samples ⭐ 1,172

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Efficient Dl Systems ⭐ 502

Efficient Deep Learning Systems course materials (HSE, YSDA)

Machine_learning_and_deep_learning ⭐ 492

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

Fsdl Text Recognizer 2022 Labs ⭐ 393

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-t

Resourcebank_cv_nlp_mlops_2022 ⭐ 375

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Vertex Ai Mlops ⭐ 344

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Python Mlops Cookbook ⭐ 317

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

Serverless Ml Course ⭐ 296

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

Machine Learning Goodness ⭐ 235

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

Mlops With Vertex Ai ⭐ 211

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

Machine Learning ⭐ 206

Learn AI together, for free. AI learning and teaching resources for everyone.

Zenbytes ⭐ 169

A simple guide to MLOps through ZenML and its various integrations.

Fraudfinder ⭐ 164

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

Docker Containers ⭐ 143

Docker images for fastai

Actions Ml Cicd ⭐ 136

A Collection of GitHub Actions That Facilitate MLOps

Aws Ml Jp ⭐ 120

SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

Tfx Addons ⭐ 116

Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group

Machine Learning ⭐ 103

All content related to machine learning from my blog

MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

Automlops ⭐ 92

Build MLOps Pipelines in Minutes

Benderopt ⭐ 85

Black-box optimization library

Semantic Segmentation Ml Pipeline ⭐ 77

Genai Stack ⭐ 77

An End to End GenAI Framework

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

Monai Deploy App Sdk ⭐ 74

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

Soorgeon ⭐ 73

Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊

Fsdl Text Recognizer 2022 ⭐ 71

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-t

Great_expectations_action ⭐ 68

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

Mlopstemplate ⭐ 68

Providing tools and templates to facilitate modern MLOps practices

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Examples ⭐ 60

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Reproducible Data Science ⭐ 58

Tutorials on creating a reproducible and maintainable data science project

Mlops Hf Tf Vision Models ⭐ 54

MLOps for Vision Models (TensorFlow) from 🤗 Transformers with TensorFlow Extended (TFX)

Azure Databricks Mlops Mlflow ⭐ 44

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

Serving Pytorch Models ⭐ 43

Serving PyTorch models with TorchServe 🔥

Bert As A Service_tfx ⭐ 42

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Cuttle Cli ⭐ 42

Cuttle automates the transformation of your Python notebook into deployment-ready projects (API, ML pipeline, or just a Python script)

Ml_observability_course ⭐ 38

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

Serving Tensorflow Models ⭐ 37

Serving TensorFlow models with TensorFlow Serving 📙

A minimalistic and pluggable machine learning platform for Kubernetes.

Ml Pipeline Engineering ⭐ 28

Best practices for engineering ML pipelines.

Clip Api Service ⭐ 27

CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search

Dual Deployments On Vertex Ai ⭐ 27

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

Vevestax ⭐ 24

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

Azure Machine Learning Mlops Workshop ⭐ 23

A workshop for doing MLOps on Azure Machine Learning

Full Stack On Prem Cv Mlops ⭐ 23

1 config, 1 command from Jupyter Notebook to serve Millions of users

Mlops Best Practices ⭐ 23

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

End To End Automl Insurance ⭐ 23

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

Mlnet Workshop ⭐ 21

ML.NET Workshop to predict car sales prices

Bodywork Ml Pipeline Project ⭐ 21

Deployment template for a continuous training 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.

MLup is framework for easy and fast run ML in production

Oreilly Transformers Nlp Mlops ⭐ 17

Session on MLOps

Examples Gallery ⭐ 17

Sample notebooks that use the Openlayer Python API

AI book for everyone

Realtime Mlops ⭐ 16

A framework of open-source technologies to design real-time machine learning systems

Continuous Adaptation For Machine Learning System To Data Changes ⭐ 16

https://blog.tensorflow.org/2021/12/continuous-ada

Tfx Kubeflow Pipelines ⭐ 15

Kubeflow pipelines built on top of Tensorflow TFX library

Bootcamp Bringing Ml Models Into Production Intermediary Jun Aug2021 ⭐ 15

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

Awesome Ai Tutorials ⭐ 15

The best collection of AI tutorials to make you a boss of Data Science!

Pytorch Serving Workshop ⭐ 14

Slides and notebook for the workshop on serving bert models in production

Mlops Multi Account Terraform ⭐ 13

Secure and scalable MLOps platform on AWS using Terraform.

Data Science Cell Training ⭐ 12

This is the official repository of the Data Science 📊 Cell Training journey provided by the CIT Club.

Metaflow Card Notebook ⭐ 12

Render Jupyter Notebooks With Metaflow Cards

Mlsys Nyu 2022 ⭐ 12

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

Ai Ml Project Template ⭐ 11

A simple project template for Artificial Intelligence (AI), Machine Learning (ML) or Data Science with basic files, branches and directory structure.

Amlworkshop Iotedge Devops ⭐ 10

This repo has some proposed agenda for Azure Machine Learning related hands-on workshops.

Timeseriesgan ⭐ 9

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks

Jupyter Manager ⭐ 9

🪐 🎛️ User interface to manage your Jupyter platform.

Ml Testing ⭐ 8

ML Testing for Everyone. Find issues before they become problems.

Jupyter Images ⭐ 8

Receipes of publicly-available Jupyter images

Mlops Engineering In Action ⭐ 8

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

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.

Tmls Workshop ⭐ 8

Toronto Machine Learning MLflow Workshop

Bodywork Pymc3 Project ⭐ 8

Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork

Ci Cd For Model Training ⭐ 7

This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.

Pycaret Mlops ⭐ 7

Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes

Sm Data Wrangler Mlops Workflows ⭐ 6

Integrate SageMaker Data Wrangler into your MLOps workflows with Amazon SageMaker Pipelines, AWS Step Functions, and Amazon Managed Workflow for Apache Airflow (MWAA)

Anyscale Workshop Nyc 2023 ⭐ 6

Scalable NLP model fine-tuning and batch inference with Ray and Anyscale

Kubego Notebooks ⭐ 6

Fast and easy Jupyter notebooks

End to End toy example of MLOps

Hack Your Ds Interview ⭐ 6

通过社群学习的方式来 review 有代表性的 notebook 和 ML 项目，实战 DS interview

Amld22 Mlops On Aws ⭐ 6

Resources for the AMLD 2022 workshop "DevOps on AWS"

Dhs 2023 Mlops ⭐ 5

A repository containing workshop material used during DataHack Summit 2023, organized by Analytics Vidhya, for the workshop titled Mastering MLOps – The Art of Productionalizing ML Models.

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