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Search results for python mlops

312 search results found

Made With Ml ⭐ 35,496

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

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

Prefect ⭐ 14,603

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

Vllm ⭐ 13,832

A high-throughput and memory-efficient inference and serving engine for LLMs

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

Dagster ⭐ 9,467

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

Kedro ⭐ 9,378

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Great_expectations ⭐ 9,179

Always know what to expect from your data.

Openllm ⭐ 7,871

Operating LLMs in production

Deeplake ⭐ 7,743

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!

Ml Engineering ⭐ 6,720

Machine Learning Engineering Open Book

Feast ⭐ 5,053

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.

Taipy ⭐ 4,311

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

Courses ⭐ 4,018

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Fedml ⭐ 3,946

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI

Superduperdb ⭐ 3,924

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

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.

Whylogs ⭐ 2,533

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. 📈

Giskard ⭐ 2,509

🐢 The testing framework for ML models, from tabular to LLMs

Nextpy ⭐ 1,893

⚡Pure Python App Framework: For Humans & LLMs🤖 World's first AMS🥇

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

Training Operator ⭐ 1,447

Distributed ML Training and Fine-Tuning on Kubernetes

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.

Modelfox ⭐ 1,354

ModelFox makes it easy to train, deploy, and monitor machine learning models.

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

Quokka ⭐ 1,003

Making data lake work for time series

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.

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Cresset ⭐ 690

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

Energy Forecasting ⭐ 663

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Nucliadb ⭐ 532

NucliaDB, The AI Search database for unstructured data

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 ⚙︎

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

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

Langtest ⭐ 430

Deliver safe & effective language models

LLMs and Machine Learning done easily

Mltrace ⭐ 418

Coarse-grained lineage and tracing for machine learning pipelines.

Hands On Train And Deploy Ml ⭐ 408

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

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

skops is a Python library helping you share your scikit-learn based models and put them in production

Encord Active ⭐ 385

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

Boostcamp Ai Tech Product Serving ⭐ 376

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료

Bodywork Core ⭐ 358

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

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.

Unionml ⭐ 310

UnionML: the easiest way to build and deploy machine learning microservices

Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

Kubernetes Mlops ⭐ 284

MLOps tutorial using Python, Docker and 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

Fire up your models with the flame 🔥

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.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

HI-ML toolbox for deep learning for medical imaging and Azure integration

Active Learning As A Service ⭐ 206

A scalable & efficient active learning/data selection system for everyone.

Machine Learning ⭐ 206

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

Whitebox ⭐ 184

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

Flytekit ⭐ 175

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

Kedro Mlflow ⭐ 175

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

Bentoctl ⭐ 168

Fast model deployment on any cloud 🚀

Cicd Templates ⭐ 166

Manage your Databricks deployments and CI with code.

Simpleai ⭐ 163

An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.

Post Modern Stack ⭐ 154

Joining the modern data stack with the modern ML stack

Kfp Tekton ⭐ 153

Kubeflow Pipelines on Tekton

Frouros ⭐ 153

Frouros: an open-source Python library for drift detection in machine learning systems.

Modelkit ⭐ 151

Toolkit for developing and maintaining ML models

Babylog ⭐ 148

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

Ml Model Ci ⭐ 135

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Mlops Workload Orchestrator ⭐ 129

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

Yet Another Lightning Hydra Template ⭐ 129

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

Athina Sdk ⭐ 127

LLM Testing SDK that helps you write and run tests to monitor your LLM app in production

Datachecks ⭐ 117

Open Source Data Quality Monitoring.

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

Clearml Serving ⭐ 115

ClearML - Model-Serving Orchestration and Repository Solution

Intelligent App Workshop ⭐ 114

Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment

Swanlab ⭐ 108

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

Trubrics Sdk ⭐ 104

The first user analytics platform for AI models

Machine Learning ⭐ 103

All content related to machine learning from my blog

Fastapi Template ⭐ 101

Complete Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as API framework.

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

PyMilo: Python for ML I/O

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