☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
Repository Index
68,261 visible repositories in the index
1–24 of 27 · Most stars
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Open-source inference platform for language, vision, embedding, reranking, image, audio, and video models. Deploy with multiple engines across heterogeneous hardware, from a laptop to a distributed cluster. Serve models through OpenAI-compatible APIs.
Containers for machine learning
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
- model-serving
- mlops
- llmops
- generative-ai
Production infrastructure for machine learning at scale
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)
- machine-learning
- scale
- workflow
- mlops
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
- version-control
- experiment-manager
- version
- control
Statistical Machine Intelligence & Learning Engine
- machine-learning
- regression
- clustering
- manifold-learning
A flexible, high-performance serving system for machine learning models
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
- knative
- machine-learning
- model-interpretability
- model-serving
Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, websockets, optional readalong web UI
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
- kubernetes
- machine-learning
- deployment
- serving
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, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
- federated-learning
- deep-learning
- distributed-training
- edge-ai
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
- ai
- api
- serving
- artificial-intelligence
Stable diffusion for real-time music generation
The repository host gives no description.
- docker
- docker-compose
- faster-whisper
- openai-api
Open-source inference server and production cluster for all the models your agent needs.
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
- fastapi
- streamlit
- pydantic
- python
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
Deep Learning Server and CLI for Torch and TensorRT
Hopsworks - Data-Intensive AI platform with a Feature Store
- feature-store
- aws
- azure
- data-science
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
- ai
- machine-learning
- natural-language-understanding
- python