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Search results for data science mlops

143 search results found

Made With Ml ⭐ 36,177

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

Airflow ⭐ 34,468

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Prefect ⭐ 14,603

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Awesome Mlops ⭐ 11,844

A curated list of references for MLOps

Amazon Sagemaker Examples ⭐ 9,560

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

Dagster ⭐ 9,467

An orchestration platform for the development, production, and observation of data assets.

Great_expectations ⭐ 9,179

Always know what to expect from your data.

Wandb ⭐ 8,204

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Machine Learning Systems Design ⭐ 7,818

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Deeplake ⭐ 7,810

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Metaflow ⭐ 7,524

🚀 Build and manage real-life ML, AI, and data science projects with ease!

Feast ⭐ 5,342

The Open Source Feature Store for Machine Learning

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

Flyte ⭐ 4,380

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Evidently ⭐ 4,348

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

Taipy ⭐ 4,311

Turns Data and AI algorithms into production-ready web applications in no time.

Zenml ⭐ 3,626

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

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

Pipelines ⭐ 3,368

Machine Learning Pipelines for Kubeflow

Ploomber ⭐ 3,318

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

Awesome Mlops ⭐ 3,233

😎 A curated list of awesome MLOps tools

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.

Lance ⭐ 3,003

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Mlops Course ⭐ 2,744

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

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Whylogs ⭐ 2,577

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

Feathr ⭐ 1,886

Feathr – A scalable, unified data and AI engineering platform for enterprise

Featureform ⭐ 1,716

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Nannyml ⭐ 1,695

nannyml: post-deployment data science in python

Mlreef ⭐ 1,403

The collaboration workspace for Machine Learning

Hamilton ⭐ 1,388

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

Budgetml ⭐ 1,290

Deploy a ML inference service on a budget in less than 10 lines of code.

Mlrun ⭐ 1,177

Machine Learning automation and tracking

Vertex Ai Samples ⭐ 1,172

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

Hopsworks ⭐ 1,041

Hopsworks - Data-Intensive AI platform with a Feature Store

Around Dataengineering ⭐ 926

A Data Engineering & Machine Learning Knowledge Hub

Sematic ⭐ 913

An open-source ML pipeline development platform

Optscale ⭐ 854

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

Lantern ⭐ 530

PostgreSQL vector database extension for building AI applications

Traceml ⭐ 493

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Machine_learning_and_deep_learning ⭐ 492

Aqueduct ⭐ 482

Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

Monitor the stability of a Pandas or Spark dataframe ⚙︎

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

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

Encord Active ⭐ 385

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

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.

Bodywork Core ⭐ 358

ML pipeline orchestration and model deployments on Kubernetes, made really easy.

Awesome Open Mlops ⭐ 342

The Fuzzy Labs guide to the universe of open source MLOps

Modelstore ⭐ 334

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

Mlops Platforms ⭐ 308

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

Terraform Provider Iterative ⭐ 286

☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes

Distributed Ml Patterns ⭐ 270

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

Feathub ⭐ 255

FeatHub - A stream-batch unified feature store for real-time machine learning

Mlops Specialization Notes ⭐ 252

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

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.

Machine Learning ⭐ 206

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

Flytekit ⭐ 175

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

Mlops.toys ⭐ 170

🎲 A curated list of MLOps projects, tools and resources

Awesome Kubeflow ⭐ 169

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

A lightweight CLI tool for versioning data alongside source code and building data pipelines.

Babylog ⭐ 148

A lightweight logger for machine learning teams to log images and predictions in production.

Docker Containers ⭐ 143

Docker images for fastai

Transform your pythonic research to an artifact that engineers can deploy easily.

Actions Ml Cicd ⭐ 136

A Collection of GitHub Actions That Facilitate MLOps

Kubeflow Manifests ⭐ 134

KubeFlow on AWS

Recommendations For Engineers ⭐ 123

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

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

Swanlab ⭐ 108

🧐SwanLab: track and visualize all the pieces of your machine learning pipeline. Join our WeChat ⬇️

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

Numerblox ⭐ 93

Solid Numerai pipelines

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

Metadata store for Production ML

DagsHub client libraries

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

Ml Template Azure ⭐ 82

Template for getting started with automated ML Ops on Azure Machine Learning

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

Soorgeon ⭐ 73

Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊

Qgate Model ⭐ 70

The machine learning meta-model with synthetic data (useful for MLOps/feature store), part of the quality gateway concept.

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.

Great_expectations_action ⭐ 68

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

Beneath is a serverless real-time data platform ⚡️

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Domino Research ⭐ 59

Projects developed by Domino's R&D team

Reproducible Data Science ⭐ 58

Tutorials on creating a reproducible and maintainable data science project

Qgate Sln Mlrun ⭐ 53

The quality gate for testing MLRun/Iguazio solution.

a Wide Shelf for AI and Data Science | Resources 🍔

Quick Notes For Ml Ds ⭐ 49

It contains interview preparation notes provided by iNeuron, important links, MLOps resources

Waterdip ⭐ 40

Open-source ML Observability Platform

Aimodelshare ⭐ 38

Easiest way to use AI models without coding (Web UI & API support)

Data Engineering And Dataops ⭐ 34

Duke MIDS: Data Engineering and DataOps Course

Modsysml ⭐ 32

Model management toolkit for continuous model improvement. Evaluate and compare LLM outputs, test quality, catch regressions and automate.

Allainews_sources ⭐ 31

A list of online news & info sources in the AI/ML/Data Science space

Data Machinelearning The Boring Way ⭐ 31

Build & Learn Data Engineering,Machine Learning over Kubernetes. No Shortcut approach.

Model Validation Toolkit ⭐ 29

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Aml Deploy ⭐ 28

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

Cs329s Covid Prediction ⭐ 24

This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough sounds and clinical information.

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