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304 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

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

Awesome Production Machine Learning ⭐ 16,513

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Qdrant ⭐ 15,789

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Argo Workflows ⭐ 14,437

Workflow Engine for Kubernetes

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.

Kedro ⭐ 9,451

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.

Wandb ⭐ 8,204

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

Mlops Zoomcamp ⭐ 8,173

Free MLOps course from DataTalks.Club

Openllm ⭐ 7,871

Operating LLMs in production

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!

Ml Engineering ⭐ 6,720

Machine Learning Engineering Open Book

Bentoml ⭐ 6,575

The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

Feast ⭐ 5,342

The Open Source Feature Store for Machine Learning

Clearml ⭐ 5,333

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

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

Seldon Core ⭐ 4,078

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

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.

Serve ⭐ 3,844

Serve, optimize and scale PyTorch models in production

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. ☁️

Higgsfield ⭐ 3,235

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

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.

Argilla ⭐ 3,097

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

Kserve ⭐ 3,035

Standardized Serverless ML Inference Platform on Kubernetes

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. 📈

Giskard ⭐ 2,509

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

Feathr ⭐ 1,886

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

Awesome Argo ⭐ 1,856

A curated list of awesome projects and resources related to Argo (a CNCF graduated project)

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

Openmldb ⭐ 1,511

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Training Operator ⭐ 1,447

Distributed ML Training and Fine-Tuning on Kubernetes

Mlops ⭐ 1,427

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.

Modelfox ⭐ 1,354

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

State Of Open Source Ai ⭐ 1,348

📕 Clarity in the current fast-paced mess of Open Source innovation

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

Awesome Seml ⭐ 1,135

A curated list of articles that cover the software engineering best practices for building machine learning applications.

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.

Motorhead ⭐ 787

🧠 Motorhead is a memory and information retrieval server for LLMs.

Model Deployment at Scale on Kubernetes 🦄️

Onepanel ⭐ 707

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Cresset ⭐ 690

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

Deep Learning In Cloud ⭐ 670

List of Deep Learning Cloud Providers

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

Lantern ⭐ 530

PostgreSQL vector database extension for building AI applications

Neptune Client ⭐ 518

📘 The MLOps stack component for experiment tracking

Efficient Dl Systems ⭐ 502

Efficient Deep Learning Systems course materials (HSE, YSDA)

Sig Mlops ⭐ 498

Machine_learning_and_deep_learning ⭐ 492

Aqueduct ⭐ 482

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

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

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

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

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

Mlops V2 ⭐ 393

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

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.

Bodywork Core ⭐ 358

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

Awesome Open Data Annotation ⭐ 353

Open Source Data Annotation & Labeling Tools

Ai Software Startups ⭐ 351

A Survey of AI startups

Vertex Ai Mlops ⭐ 344

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

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.

Awesome Ai Tools ⭐ 312

A curated list of Artificial Intelligence Top Tools

Unionml ⭐ 310

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

Mlops Platforms ⭐ 308

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

Serverless Ml Course ⭐ 296

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

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

Terraform Provider Iterative ⭐ 286

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

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

Mlops Specialization Notes ⭐ 252

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

Fire up your models with the flame 🔥

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