#mlops (30 Repositories)
Ranked open-source repositories tagged with #mlops, scored by pull request acceptance likelihood and maintainer engagement velocity.
47.9%
39.0h
30 repositories tagged #mlops
nuclia/nucliadb
NucliaDB, The AI Search database for RAG
traceopt-ai/traceml
Open-source observability for PyTorch training runs.
hongbo-miao/hongbomiao.com
A personal research and development (R&D) lab that facilitates the sharing of knowledge.
flyteorg/flyte-sdk
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference โ in pure Python with async/await.
flyteorg/flyte
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
lance-format/lance
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
deepset-ai/haystack-core-integrations
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack
kitops-ml/kitops
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
vllm-project/vllm-ascend
Community maintained hardware plugin for vLLM on Ascend
lupinemachines/lupine
LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.
datachain-ai/datachain
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Giskard-AI/giskard-oss
๐ข Open-Source Evaluation & Testing library for LLM Agents
feast-dev/feast
The Open Source Feature Store for AI/ML
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
PerforatedAI/PerforatedAI
Add Dendrites to your PyTorch Project
kedro-org/kedro
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.
kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
SwanHubX/SwanLab
โก๏ธSwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
AmineDjeghri/generative-ai-project-template
Template for a new generative ai project using uv, nicegui, fastapi, llms (cloud & local with litellm and ollama, cpu/gpu) and langfuse for llm observability
flyteorg/flytekit
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
microsoft/agent-lightning
The absolute trainer to light up AI agents.
stas00/ml-engineering
Machine Learning Engineering Open Book
feathr-ai/feathr
Feathr โ A scalable, unified data and AI engineering platform for enterprise
SartHak-0-Sach/Harkirat-Singh-course_code_and_notes
A comprehensive resource hub for mastering web development, covering everything from fundamental concepts to advanced topics and project-based learning. This also includes my notes on various other bonus sections offered alongside the course such as the MLops section, native android development section and DSA classes all in one. Follow for more๐โจ
GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
zzsza/Boostcamp-AI-Tech-Product-Serving
๋ถ์คํธ์บ ํ AI Tech - Product Serving ์๋ฃ
kserve/website
User documentation for KServe.
featureform/featureform
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
iusztinpaul/energy-forecasting
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด