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qdrant / qdrant

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

▲ ~107/7d ★ 35k Rust 1d ago
mlflow / mlflow

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

▲ ~75/7d ★ 29k Python today
HumanSignal / label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

▲ ~63/7d ★ 29k TypeScript 1d ago
apache / airflow

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

▲ ~56/7d ★ 47k Python today
superlinked / sie

Open-source inference server and production cluster for all the models your agent needs.

▲ ~40/7d ★ 3.4k Python today
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..

▲ ~38/7d ★ 7.2k Rust today
DataTalksClub / mlops-zoomcamp

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

▲ ~35/7d ★ 15k Jupyter Notebook 9d ago
skypilot-org / skypilot

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

▲ ~32/7d ★ 11k Python 1d ago
dagster-io / dagster

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

▲ ~28/7d ★ 16k Python 1d ago
BlueRingsLabs / no-shortcuts

Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.

▲ ~28/7d ★ 57 Python 28d ago
weaviate / weaviate

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

▲ ~26/7d ★ 17k Go 1d ago
flyteorg / flyte

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

▲ ~24/7d ★ 7.8k Go 1d ago
alvinreal / awesome-opensource-ai

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

▲ ~23/7d ★ 4.9k Python 2d ago
argilla-io / argilla

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

▲ ~18/7d ★ 5.2k Python 5d ago
kserve / kserve

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

▲ ~14/7d ★ 6.1k Go 1d ago
SwanHubX / SwanLab

⚡️SwanLab - 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.

▲ ~12/7d ★ 4.3k Python today
apache / burr

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

▲ ~12/7d ★ 2.6k Python 3d ago
Awesome-AI-Pedia / Awesome-AI-Pedia

AI skills大全 mcp ai知识库 Agent 全维度 AI 资源百科,DSH插件 收录大模型、智能 Agent、RAG 检索增强、多模态、MLOps、AI 应用工具、AI面试集、Vibe coding 大全、零基础学习路线,持续更新前沿 AI 开源项目,开发者一站式 AI 导航库

▲ ~12/7d ★ 494 TypeScript 1d ago
data-infra / cube-studio

cubestudio开源云原生一站式机器学习/深度学习/大模型AI平台/MaaS/mlops/人工智能平台/训推平台,算法全链路流程,多租户,算力租赁平台,token中转,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务,VGPU虚拟化,云边端协同,边缘计算,自动化标注平台,deepseek等大模型sft微调/奖励模型/强化学习训练,vllm/ollama/mindie大模型多机推理,私有知识库llmops智能体,AI模型市场,支持国产异构算力调度,昇腾/寒武纪/海光/摩尔/沐曦等,支持ib/roce/RDMA,信创支持

▲ ~9/7d ★ 2.6k Python 12d ago
patchy631 / time-to-first-token

A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.

▲ ~9/7d ★ 1.0k HTML 2mo ago
bentoml / BentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

▲ ~7/7d ★ 8.9k Python 1d ago
evidentlyai / evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

▲ ~7/7d ★ 8.0k Jupyter Notebook 25d ago
clearml / clearml

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

▲ ~7/7d ★ 6.9k Python 1d ago
apache / hamilton

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

▲ ~7/7d ★ 2.6k Jupyter Notebook 2d ago
zenml-io / zenml

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

▲ ~5/7d ★ 5.6k Python 1d ago
TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.

▲ ~5/7d ★ 4.0k Python 2d ago
kubeflow / trainer

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

▲ ~5/7d ★ 2.3k Go 1d ago
global-fde / awesome-fde-resources

A curated collection of resources, tools, practices, case studies, and opportunities for Forward Deployed Engineers.

▲ ~5/7d ★ 310 Python 2mo ago
wandb / wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

▲ ~4/7d ★ 11k Python today
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.

▲ ~4/7d ★ 11k Python 1d ago
aimhubio / aim

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

▲ ~4/7d ★ 6.3k Python 1d ago
datachain-ai / datachain

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

▲ ~4/7d ★ 2.8k Python 1d ago
lupinemachines / lupine

LUPINE is a GPU over IP bridge allowing GPUs on remote machines to be attached to CPU-only machines.

▲ ~4/7d ★ 2.5k C++ 9d ago
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.

▲ ~4/7d ★ 1.4k Go 5d ago
bentoml / OpenLLM

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

▲ ~2/7d ★ 13k Python 2d ago
tencentmusic / cube-studio

cube studio开源云原生一站式机器学习/深度学习/大模型AI平台,mlops算法链路全流程,算力租赁平台,notebook在线开发,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务VGPU虚拟化,边缘计算,标注平台自动化标注,deepseek等大模型sft微调/奖励模型/强化学习训练,vllm/ollama/mindie大模型多机推理,私有知识库,AI模型市场,支持国产cpu/gpu/npu 昇腾生态,支持RDMA,支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式

▲ ~2/7d ★ 5.1k 15d ago
GoogleCloudPlatform / vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

▲ ~2/7d ★ 791 Jupyter Notebook 1d ago
superlinked / VectorHub

Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.

▲ ~2/7d ★ 533 Jupyter Notebook 5d ago
skops-dev / skops

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

▲ ~2/7d ★ 530 Python 2d ago
zorost / AI-Engineering-Lab

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

▲ ~2/7d ★ 318 Jupyter Notebook 2mo ago

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